CN115905625A - Transaction relation analysis method and device, electronic equipment and storage medium - Google Patents

Abstract

The embodiment of the application discloses a transaction relationship analysis method, a transaction relationship analysis device, electronic equipment and a storage medium; the method and the device can determine the target transaction object and the level of the target object to be analyzed currently; acquiring a transaction object to be analyzed and a transaction screening condition corresponding to a target object level and transaction data of the transaction object to be analyzed, and determining a candidate transaction object of the transaction object to be analyzed according to the transaction data; according to the transaction screening conditions, selecting objects meeting the transaction screening conditions from the candidate transaction objects to obtain transaction associated objects of the target transaction objects at the target object level and transaction associated relations between the target transaction objects and the transaction associated objects; updating a current transaction relation set corresponding to the target transaction object according to the transaction association relation to obtain an updated transaction relation set; and generating a transaction link relation graph of the target transaction object according to the updated transaction relation set. The scheme can effectively improve the efficiency of transaction relationship analysis.

Description

Transaction relationship analysis method, device, electronic device and storage medium

technical field

This application relates to the field of computer technology, in particular to a transaction relationship analysis method, device, electronic equipment and storage medium.

Background technique

With the continuous development of Internet technology, many merchants or users will conduct transactions and daily resource transfer activities through designated financial applications or payment applications, and this requires possible risks for each merchant or user (specifically, the Risks corresponding to conversion of resources into legitimate resources, etc.) for prevention and control. Each financial institution can use the corresponding transaction data to detect whether there is a risk in the transaction corresponding to the transaction data. For example, it can select effective data from massive data, and through qualitative and quantitative analysis, dig deep into the multi-level and multi-level customers. to identify suspicious transaction behaviors of customers. In recent years, the People's Bank of China and financial institutions have gradually regulated the monitoring, analysis and reporting of large-value and suspicious transactions by financial institutions, effectively cracking down on illegal transactions.

However, the current traditional solution can only see the upstream and downstream opponents of the main body, and cannot intuitively display the overall flow of funds. The correlation and the strength of the correlation need to rely on manual analysis, which is less efficient.

Contents of the invention

Embodiments of the present application provide a transaction relationship analysis method, device, electronic equipment, and storage medium, which can effectively improve the efficiency of transaction relationship analysis.

An embodiment of the present application provides a transaction relationship analysis method, including:

Determine the target transaction object and the current target object level to be analyzed;

Obtain the transaction object to be analyzed and the transaction filter conditions corresponding to the target object level, as well as the transaction data of the transaction object to be analyzed, and determine the candidate transaction object of the transaction object to be analyzed according to the transaction data;

According to the transaction screening conditions, select the objects that meet the transaction screening conditions from the candidate transaction objects, and obtain the transaction associated objects of the target transaction object at the target object level, and the transaction association between the target transaction object and the transaction associated objects relation;

According to the transaction association relationship, the current transaction relationship set corresponding to the target transaction object is updated to obtain an updated transaction relationship set, wherein the transaction relationship set includes at least one object level, and the transaction relationship corresponding to the object level;

Generate the transaction link relationship diagram of the target transaction object according to the updated transaction relationship set, the transaction link relationship diagram includes multiple node levels and node links, each node level corresponds to an object level, and the node Links between levels indicate the transaction association relationship of transaction objects between the object levels.

Correspondingly, the embodiment of the present application also provides a transaction relationship analysis device, including:

A determination unit is used to determine the target transaction object and the current target object level to be analyzed;

The obtaining unit is used to obtain the transaction object to be analyzed and the transaction screening conditions corresponding to the target object level, as well as the transaction data of the transaction object to be analyzed, and determine the candidate transaction object of the transaction object to be analyzed according to the transaction data;

The screening unit is used to select an object that satisfies the transaction screening condition from the candidate transaction objects according to the transaction screening condition, and obtain the transaction associated object of the target transaction object at the target object level, and the target transaction object and the transaction association Transaction relationship between objects;

An update unit, configured to update the current transaction relationship set corresponding to the target transaction object according to the transaction association relationship, to obtain an updated transaction relationship set, wherein the transaction relationship set includes at least one object level and a transaction corresponding to the object level connection relation;

A generating unit, configured to generate a transaction link relationship diagram of the target transaction object according to the updated transaction relationship set, the transaction link relationship diagram includes multiple node levels and node links, and each node level corresponds to an object level , the link between the node levels indicates the transaction association relationship of the transaction objects between the object levels.

Optionally, in some embodiments, the generating unit may be specifically configured to use the transaction-associated object as the transaction object to be analyzed when the analysis of the transaction relationship does not meet the preset end condition, and return to execute to determine the current The step of the target object level to be analyzed; when the transaction relationship analysis meets the preset end condition, generate the transaction link relationship diagram of the target transaction object according to the updated transaction relationship set.

Optionally, in some embodiments, the generation unit includes a determination subunit and a screening subunit, as follows:

Determine the subunit, used to determine the scope of transaction screening for transaction relationship analysis;

The screening subunit is configured to filter out a target transaction relationship set from the updated transaction relationship set according to the transaction screening range, and generate a transaction link relationship diagram of the target transaction object based on the target transaction relationship set.

Optionally, in some embodiments, the determining subunit may be specifically configured to display a transaction relationship analysis page, where the transaction relationship analysis page includes a screening control; in response to a screening operation directed at the screening control, determine the transaction relationship The transaction filter scope for the analysis.

Optionally, in some embodiments, the transaction relationship analysis page includes a refresh control, and the screening subunit can specifically respond to a refresh operation for the refresh control, based on the transaction screening range, from the updated transaction The relationship set determines the target transaction relationship set; generates the transaction link relationship graph of the target transaction object based on the target transaction relationship set.

Optionally, in some embodiments, the generating unit includes a position subunit and a generating subunit, as follows:

The location subunit is used to determine the location information of each transaction-associated object based on the updated transaction relationship set;

The generation subunit is used to generate the transaction link relationship graph of the target transaction object based on the location information of the transaction-related object.

Optionally, in some embodiments, the location subunit can specifically be used to classify the transaction-related objects in the updated transaction relationship set to obtain the point relationship list of the target transaction object, and the The point relationship list includes at least one transaction-related object and the object level corresponding to each transaction-related object; based on the object level corresponding to the transaction-related object in the point relationship list, the position information of each transaction-related object is calculated.

Optionally, in some embodiments, the point relationship list includes the serial number of the object level where each transaction-related object is located, and the location subunit can specifically be used to determine the number of transaction-related objects corresponding to each object level ; Based on the transaction objects to be analyzed corresponding to each object level, the number of transaction-related objects corresponding to each object level, and the serial numbers of transaction-related objects in each object level, calculate the number of transaction-related objects in each object level Location information, where the location information is the location information of each transaction-related object relative to the transaction object to be analyzed at the object level.

Optionally, in some embodiments, the generating subunit may be specifically configured to use the target transaction object and the transaction association object as nodes; perform transaction association relationships in the updated transaction relationship set classification, to obtain the edge relationship list of the target transaction object, the edge relationship list includes the target transaction object and the transaction associated object, and the edge relationship between the transaction associated object; based on the edge relationship list, there will be edge relationships The nodes are connected, and the connection lines between the nodes are used as the links of the nodes; based on the nodes and the links of the nodes, a transaction link relationship diagram of the target transaction object is generated.

In addition, the embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute any of the instructions provided in the embodiments of the present application. Steps in a transaction relationship analysis method.

In addition, the embodiment of the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. The steps in any transaction relationship analysis method.

According to one aspect of the present application, a computer program product or computer program is provided, the computer product or computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium, and a processor of a computer device reads from the computer-readable storage The medium reads the computer instructions, and the processor executes the computer instructions, so that the computer device executes the methods provided in the various optional implementations of the above transaction relationship analysis.

This embodiment can determine the target transaction object and the current target object level to be analyzed; then, obtain the transaction object to be analyzed corresponding to the target object level and the transaction filter conditions, as well as the transaction data of the transaction object to be analyzed, and determine according to the transaction data The candidate transaction object of the transaction object to be analyzed; then, according to the transaction screening condition, select the object that satisfies the transaction screening condition from the candidate transaction object, and obtain the transaction related object of the target transaction object at the target object level, and The transaction association relationship between the target transaction object and the transaction association object; then update the current transaction relationship set corresponding to the target transaction object according to the transaction association relationship, and obtain the updated transaction relationship set, wherein the transaction relationship set Including at least one object level, the transaction association relationship corresponding to the object level; and then, according to the updated transaction relationship set to generate the transaction link relationship diagram of the target transaction object, the transaction link relationship diagram includes multiple node levels and node Each node level corresponds to an object level, and the links between the node levels indicate the transaction association relationship of the transaction objects between the object levels. This scheme can effectively improve the efficiency of transaction relationship analysis.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the accompanying drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those skilled in the art, on the premise of not paying creative work, other drawings can also be obtained according to these drawings.

Fig. 1a is a schematic diagram of the scene of the transaction relationship analysis method provided by the embodiment of the present application;

Fig. 1b is the first flow chart of the transaction relationship analysis method provided by the embodiment of the present application;

Fig. 2a is the second flow chart of the transaction relationship analysis method provided by the embodiment of the present application;

Fig. 2b is a schematic structural diagram of the transaction relationship analysis method provided by the embodiment of the present application;

Fig. 2c is a schematic calculation diagram of the transaction relationship analysis method provided by the embodiment of the present application;

Fig. 2d is the first schematic diagram of the transaction relationship analysis page provided by the embodiment of the present application;

Fig. 2e is a second schematic diagram of the transaction relationship analysis page provided by the embodiment of the present application;

Fig. 2f is the third schematic diagram of the transaction relationship analysis page provided by the embodiment of the present application;

Fig. 2g is the fourth schematic diagram of the transaction relationship analysis page provided by the embodiment of the present application;

Fig. 2h is the fifth schematic diagram of the transaction relationship analysis page provided by the embodiment of the present application;

FIG. 3 is a schematic structural diagram of a transaction relationship analysis device provided in an embodiment of the present application;

FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts all belong to the scope of protection of this application.

The principles of the present application are exemplified by implementation in a suitable computing environment. In the following description, specific embodiments of the present application will be described with reference to steps and symbols executed by one or more computers, unless otherwise stated. Therefore, these steps and operations will be referred to several times as being executed by a computer, and the computer execution referred to herein includes the operation by a computer processing unit of electronic signals representing data in a structured form. This operation transforms the data or maintains it at a location in the computer's memory system that can reconfigure or otherwise change the operation of the computer in a manner well known to testers in the art. The data structures maintained by the data are physical locations in the memory that have specific characteristics defined by the data format. However, the principle of this application is described in the above text, which does not represent a limitation. Testers in the field will understand that the following various steps and operations can also be implemented in hardware.

The term "unit" as used herein may be considered a software object executing on the computing system. The different components, units, engines and services mentioned herein can be regarded as implementation objects on the computing system. The device and method described herein can be implemented in the form of software, and of course can also be implemented in hardware, all within the protection scope of the present application.

The terms "first", "second" and "third" in this application are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product, or device comprising a series of steps or units is not limited to the listed steps or units, but some embodiments also include unlisted steps or units, or certain implementations Examples also include other steps or elements inherent to these processes, methods, products or devices.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearances of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are independent or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.

Embodiments of the present application provide a transaction relationship analysis method, device, electronic equipment, and storage medium. Wherein, the transaction relationship analysis device can be integrated in an electronic device, and the electronic device can be a server, or a terminal and other equipment.

For example, as shown in Figure 1a, first, the electronic device integrated with the transaction relationship analysis device can determine the target transaction object and the current target object level to be analyzed; then, obtain the transaction object to be analyzed corresponding to the target object level and the transaction screening conditions, and the transaction data of the transaction object to be analyzed, and determine the candidate transaction object of the transaction object to be analyzed according to the transaction data; then, according to the transaction screening condition, select the object that meets the transaction screening condition from the candidate transaction objects , to obtain the transaction associated object of the target transaction object at the target object level, and the transaction association relationship between the target transaction object and the transaction association object; then according to the transaction association relationship, the current transaction relationship corresponding to the target transaction object The set is updated to obtain an updated transaction relationship set, wherein the transaction relationship set includes at least one object level and the transaction association relationship corresponding to the object level; then, generate the transaction link of the target transaction object according to the updated transaction relationship set A relationship diagram, the transaction link relationship diagram includes a plurality of node levels and links of nodes, each node level corresponds to an object level, and the links between the node levels indicate the transaction relationship of the transaction objects between the object levels association relationship. Because this scheme can analyze the transaction of the target transaction object, select the transaction associated object that meets the transaction screening condition of the first object level, and continue to select the transaction associated object that meets the transaction screening condition of the second object level Transaction related objects, and so on. All the selected transaction-related objects are used as nodes, and the transaction-related relationships between all transaction-related objects are extracted as the links between nodes, and then the transaction link diagram of the target transaction object is generated to visually display the source of the target transaction object and whereabouts, the transaction link is complete, which saves manpower compared with manual analysis, and the analysis of transaction relationship is more accurate. And by expanding the multi-layer transaction relationship object, you can check whether there is a transaction between the target transaction object and the transaction-related object of the transaction-related object, and you can conveniently and intuitively view the transactions between multiple people, and compared with manual The analysis is more accurate, and the interference and misjudgment of human subjective factors are reduced.

Each will be described in detail below. It should be noted that the description order of the following embodiments is not as a limitation to the preferred order of the embodiments.

This embodiment will be described from the perspective of a transaction relationship analysis device. The transaction relationship analysis device can specifically be integrated in an electronic device, and the electronic device can be a server, or a terminal and other equipment; wherein, the terminal can include a mobile phone, Devices such as tablet computers, notebook computers, and personal computers (Personal Computer, PC).

A transaction relationship analysis method, comprising: determining the target transaction object and the current target object level to be analyzed; then, obtaining the transaction object to be analyzed corresponding to the target object level and transaction filtering conditions, as well as the transaction data of the transaction object to be analyzed, And determine the candidate transaction object of the transaction object to be analyzed according to the transaction data; then, according to the transaction screening condition, select the object satisfying the transaction screening condition from the candidate transaction object, and obtain the target transaction object at the target object level The transaction associated object, and the transaction association relationship between the target transaction object and the transaction association object; then update the current transaction relationship set corresponding to the target transaction object according to the transaction association relationship, and obtain the updated transaction relationship set, Wherein, the transaction relationship set includes at least one object level and the transaction association relationship corresponding to the object level; then, according to the updated transaction relationship set, the transaction link relationship diagram of the target transaction object is generated, and the transaction link relationship diagram includes multiple Each node level corresponds to an object level, and the links between the node levels indicate the transaction association relationship of the transaction objects between the object levels.

As shown in Figure 1b, the specific process of the transaction relationship analysis method can be as follows:

101. Determine the target transaction object and the current level of the target object to be analyzed.

Wherein, the target transaction object may refer to an object that requires transaction relationship analysis. For example, auditors need to analyze customers (such as customer X), and can input the information of customer X into the electronic device, and the electronic device can analyze the transaction relationship of customer X based on the transaction data of customer X.

Among them, the target object level can refer to the diffusion of target transaction objects, each round of diffusion corresponds to an object level, for example, the first round of diffusion corresponds to the first object level, and the second round of diffusion corresponds to the second object level. Among them, the diffusion of the target transaction object can refer to the acquisition of the first round of transaction objects that have a transaction relationship with the target transaction object, and then diffuse the first round of transaction objects, and obtain the first round of transaction objects from the first round of transaction objects The second round of transaction objects that have a transaction relationship with the object, and then diffuse the second round of transaction objects, and obtain the third round of transaction objects that have a transaction relationship with the second round of transaction objects from the second round of transaction objects. Diffusion is carried out continuously until it cannot be diffused or the preset end condition is met.

Among them, there are many ways to set the preset end condition, for example, it can be flexibly set according to the actual application requirements, and it can also be preset and stored in the electronic device. In addition, the preset end condition can be built into the electronic device, or can also be stored in the memory and sent to the electronic device, and so on.

102. Obtain the transaction object to be analyzed and the transaction screening conditions corresponding to the target object level, as well as the transaction data of the transaction object to be analyzed, and determine the candidate transaction object of the transaction object to be analyzed according to the transaction data.

Wherein, the transaction data may include the transaction object with the transaction object to be analyzed, and the transaction amount, transaction time, transaction location, etc. between them (that is, the transaction object to be analyzed and the transaction object). Among them, there are many ways to set the transaction filtering conditions. For example, it can be flexibly set according to the actual application requirements, or it can be pre-set and stored in the electronic device. In addition, the transaction filter conditions can be built into the electronic device, or can also be stored in memory and sent to the electronic device, etc. The transaction filter conditions corresponding to each target object level can be set according to the actual situation.

For example, when the current target object level to be analyzed is the first object level, the transaction object to be analyzed corresponding to the target object level can be the target transaction object, and then the transaction data of the target transaction object can be obtained, and the transaction data can include The transaction object and the transaction amount of the transaction with the target transaction object. According to the transaction data of the target transaction object, determine at least one candidate transaction object that conducts transactions with the target transaction object, and the transaction screening condition corresponding to the first object level can be between the first round of candidate transaction objects and candidate transaction objects The sum of the transaction amount is greater than p% of the total transaction amount of the target transaction object. Correspondingly, the transaction screening condition corresponding to the second object level can be the transaction amount sum between the candidate transaction object and the candidate transaction object in the second round, which is greater than p-x% of the total transaction amount of the target transaction object. The transaction screening condition corresponding to the third object level can be the sum of the transaction amount between the candidate transaction object and the candidate transaction object in the third round, which is greater than the total transaction amount p-x-x% of the target transaction object. And so on, until it can't be diffused or the preset end condition is met.

103. According to the transaction screening conditions, select the objects that meet the transaction screening conditions from the candidate transaction objects, and obtain the transaction related objects of the target transaction object at the target object level, and the relationship between the target transaction object and the transaction related objects transaction relationship.

For example, according to the transaction screening conditions, an object that satisfies the transaction screening conditions can be selected from the candidate transaction objects to obtain the transaction related objects of the target transaction object at the target object level, and the corresponding Transaction association relationship, the transaction association relationship is the transaction association relationship between the target transaction object and the transaction association object.

For example, when the current target object level to be analyzed is the first object level, the candidate transaction objects are sorted according to the transaction amount, and the candidate transaction objects with the largest transaction amount are selected according to the sorting results, and the candidate transaction objects and candidate transactions are selected The sum of the transaction amount between objects is greater than p% of the total transaction amount of the target transaction object, and these candidate transaction objects are determined as the transaction associated objects of the target transaction object at the first object level. And obtain the transaction association relationship corresponding to the target transaction object at the first object level, such as, the target transaction object is at the first object level, and the transaction amount of the transaction associated object with the first object level.

For example, when the current target object level to be analyzed is the second object level, the transaction object to be analyzed corresponding to the target object level can be the transaction associated object of the first object level, and then obtain the transaction associated object of the first object level Transaction data, the transaction data may include the transaction object that is traded with the transaction associated object of the first object level, and the transaction amount. According to the transaction data of the transaction-related object at the first object level, at least one candidate transaction object for trading with the transaction-related object at the first object level is determined. Then, sort the candidate transaction objects according to the transaction amount, select the candidate transaction object with the largest transaction amount according to the sorting results, and select the sum of the transaction amount between the candidate transaction object and the candidate transaction object, which is greater than the total transaction amount of the target transaction object The transaction objects with an amount of p-x%, and these candidate transaction objects are determined as the transaction associated objects of the target transaction object at the second object level. And obtain the transaction association relationship corresponding to the target transaction object at the second object level, for example, the target transaction object is at the second object level, and the transaction amount of the transaction associated object with the second object level.

For example, when the current target object level to be analyzed is the third object level, the transaction object to be analyzed corresponding to the target object level can be the transaction associated object of the second object level, and then obtain the transaction associated object of the second object level Transaction data, the transaction data may include the transaction object that is traded with the transaction associated object of the second object level, and the transaction amount. According to the transaction data of the transaction-related object at the second object level, at least one candidate transaction object for trading with the transaction-related object at the second object level is determined. Then, sort the candidate transaction objects according to the transaction amount, select the candidate transaction object with the largest transaction amount according to the sorting results, and select the sum of the transaction amount between the candidate transaction object and the candidate transaction object, which is greater than the total transaction amount of the target transaction object The transaction objects with an amount of p-x%, and these candidate transaction objects are determined as the transaction associated objects of the target transaction object at the third object level. And obtain the transaction association relationship corresponding to the target transaction object at the third object level, for example, the target transaction object is at the third object level, and the transaction amount with the transaction associated object at the third object level.

104. Update the current transaction relationship set corresponding to the target transaction object according to the transaction association relationship to obtain an updated transaction relationship set.

Wherein, the set of transaction relationships may include at least one object level and transaction association relationship corresponding to the object level. For example, after obtaining the transaction associated object of the target transaction object at the target object level, and the transaction association relationship between the target transaction object and the transaction association object, the data of the transaction association object and the transaction association relationship can be used to analyze the target transaction The current transaction relationship set corresponding to the object is updated, and then the next round of expansion is continued. Every time the target transaction object is expanded, the current transaction relationship set is updated until it cannot be diffused or the preset end condition is met.

105. Generate a transaction link relationship graph of the target transaction object according to the updated transaction relationship set.

Wherein, the transaction link relationship diagram may include a plurality of node levels and links of nodes, each node level corresponds to an object level, and the links between the node levels indicate the transaction association relationship of the transaction objects between the object levels .

For example, when the transaction relationship analysis does not meet the preset end conditions, the transaction related object can be used as the transaction object to be analyzed, and the step of determining the level of the target object to be analyzed is returned; when the transaction relationship analysis meets the predetermined When the end condition is set, the transaction link relationship diagram of the target transaction object is generated according to the updated transaction relationship set.

In order to improve the efficiency of transaction relationship analysis and improve the accuracy and practicability of transaction relationship analysis data, the expanded data can be screened, the transaction scope to be analyzed can be selected, and a transaction link diagram can be generated according to the selected transaction scope. Make the transaction link diagram more clearly and intuitively display valid data. For example, specifically, the transaction screening scope of transaction relationship analysis can be determined; the target transaction relationship set is filtered out from the updated transaction relationship set according to the transaction screening scope, and the transaction link of the target transaction object is generated based on the target transaction relationship set relation chart.

In order to improve the practicability of transaction relationship analysis and enhance user experience, users can be provided with a quick and convenient operation page for users to select the transaction scope of transaction relationship analysis. For example, the determination of the transaction screening scope of the transaction relationship analysis may specifically display the transaction relationship analysis page, and the transaction relationship analysis page includes a screening control; in response to the screening operation for the screening control, determine the transaction screening scope of the transaction relationship analysis.

Optionally, the transaction relationship analysis page may include a refresh control, the target transaction relationship set is filtered out from the updated transaction relationship set according to the transaction screening range, and the target transaction object is generated based on the target transaction relationship set The transaction link relationship graph, specifically, it can respond to the refresh operation for the refresh control, based on the transaction screening range, determine the target transaction relationship set from the updated transaction relationship set; generate the target transaction object based on the target transaction relationship set Transaction link diagram.

In order to more clearly show the transaction association relationship between the target transaction object and the transaction association object, the location information of each transaction association object can be determined according to the transaction association relationship between them, and then the transaction link diagram of the target transaction object can be generated . For example, based on the updated set of transaction relationships, the location information of each transaction-related object can be determined; based on the location information of the transaction-related object, a transaction link relationship diagram of the target transaction object can be generated.

Among them, there are many ways to determine the location information of each transaction-related object. For example, specifically, the transaction-related objects in the updated transaction relationship set can be classified to obtain the point relationship list of the target transaction object. The point relationship list includes at least one transaction-related object and the object hierarchy corresponding to each transaction-related object; based on the object hierarchy corresponding to the transaction-related object in the point relationship list, the position information of each transaction-related object is calculated.

Wherein, the point relationship list may include the serial number of the object level where each transaction-related object is located, for example, the position information of each transaction-related object is calculated based on the object level corresponding to the transaction-related object in the point relationship list, Specifically, the number of transaction-related objects corresponding to each object level can be determined; based on the transaction objects to be analyzed corresponding to each object level, the number of transaction-related objects corresponding to each object level, and the sequence of transaction-related objects in each object level number, calculate the position information of the transaction-related object in each object level, and the position information is the position information of each transaction-related object relative to the transaction object to be analyzed in the object level.

After obtaining the point relationship list of the target transaction object, the transaction association relationship can be classified to obtain the edge relationship list of the target transaction object, for example, based on the position information of the transaction association object, the transaction of the target transaction object can be generated A link relationship graph, specifically, the target transaction object and the transaction association object can be used as nodes; the transaction association relationship in the updated transaction relationship set is classified to obtain the edge relationship list of the target transaction object, The edge relationship list includes the target transaction object, the transaction associated object, and the edge relationship between the transaction associated objects; based on the edge relationship list, the nodes with edge relationships are connected, and the connection lines between the nodes are used as The link of the node; based on the link of the node and the node, generate the transaction link relationship diagram of the target transaction object.

It should be noted that in order to improve the security of transaction relationship analysis, the data storage in the above method is all stored in the blockchain. Among them, blockchain is a new application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. Blockchain (Blockchain), essentially a decentralized database, is a series of data blocks associated with cryptographic methods. Each data block contains a batch of network transaction information for verifying its Validity of information (anti-counterfeiting) and generation of the next block. The blockchain can include the underlying platform of the blockchain, the platform product service layer and the application service layer.

The underlying blockchain platform can include processing modules such as user management, basic services, smart contracts, and operational monitoring. Among them, the user management module is responsible for the identity information management of all blockchain participants, including maintenance of public and private key generation (account management), key management, and maintenance of the corresponding relationship between the user's real identity and blockchain address (authority management), etc. In the case of authorization, supervise and audit certain real-identity transactions, and provide risk control rule configuration (risk control audit); the basic service module is deployed on all blockchain node devices to verify the validity of business requests, And complete the consensus on valid requests and record them on the storage. For a new business request, the basic service first analyzes and authenticates the interface adaptation (interface adaptation), and then encrypts the business information through the consensus algorithm (consensus management). After encryption, it is completely and consistently transmitted to the shared ledger (network communication) and recorded for storage; the smart contract module is responsible for the registration and issuance of the contract, as well as contract triggering and contract execution. Developers can define the contract logic through a certain programming language. Publish to the blockchain (contract registration), according to the logic of the contract terms, call the key or other events to trigger the execution, complete the contract logic, and also provide the function of contract upgrade and cancellation; the operation monitoring module is mainly responsible for the product release process Deployment, configuration modification, contract setting, cloud adaptation, and visual output of real-time status during product operation, such as: alarms, monitoring network conditions, monitoring node device health status, etc.

The platform product service layer provides the basic capabilities and implementation framework of typical applications. Based on these basic capabilities, developers can superimpose the characteristics of the business and complete the blockchain implementation of business logic. The application service layer provides application services based on blockchain solutions for business participants to use.

As can be seen from the above, this embodiment can determine the target transaction object and the current target object level to be analyzed; then, obtain the transaction object to be analyzed corresponding to the target object level and the transaction filtering conditions, as well as the transaction data of the transaction object to be analyzed, and according to The transaction data determines the candidate transaction object of the transaction object to be analyzed; then, according to the transaction screening condition, select the object that meets the transaction screening condition from the candidate transaction object, and obtain the transaction of the target transaction object at the target object level Associated objects, and the transaction association relationship between the target transaction object and the transaction association object; then update the current transaction relationship set corresponding to the target transaction object according to the transaction association relationship, and obtain the updated transaction relationship set, wherein, The transaction relationship set includes at least one object level and the transaction association relationship corresponding to the object level; then, according to the updated transaction relationship set, the transaction link relationship diagram of the target transaction object is generated, and the transaction link relationship diagram includes a plurality of nodes Each node level corresponds to an object level, and the links between the node levels indicate the transaction association relationship of the transaction objects between the object levels. Because this scheme can analyze the transaction of the target transaction object, select the transaction associated object that meets the transaction screening condition of the first object level, and continue to select the transaction that meets the transaction screening condition of the second object level for the selected transaction associated object Associated objects, and so on. All the selected transaction-related objects are used as nodes, and the transaction-related relationships between all transaction-related objects are extracted as the links between nodes, and then the transaction link diagram of the target transaction object is generated to visually display the target transaction object The source and whereabouts of transactions, the transaction link is complete, saving manpower compared with manual analysis, and the analysis of transaction relationship is more accurate. And by expanding the multi-layer transaction relationship object, you can check whether there is a transaction between the target transaction object and the transaction-related object of the transaction-related object, and you can conveniently and intuitively view the transactions between multiple people, and compared Manual analysis is more accurate, reducing the interference and misjudgment of human subjective factors.

According to the method described in the previous embodiment, an example will be given below for further detailed description.

In this embodiment, the transaction relationship analysis device is specifically integrated in electronic equipment, the target transaction object is specifically qwe, and the transaction relationship is specifically a capital transaction relationship as an example for illustration.

Clarifying the transaction relationship between transaction objects, and then determining their transaction behavior, is of great significance for maintaining the stable operation of the financial system and maintaining the objective requirements of a fair and just market economic order. However, in the existing transaction relationship analysis, only the upstream and downstream of the main account can be seen, only the transactions between the main body and the counterparty can be seen, and the overall flow of funds cannot be visually displayed. If it is necessary to expand the relationship between the upstream and downstream of the counterparty and the upstream and downstream of the main account Whether there is a connection and the strength of the connection needs to rely on manual analysis, and it is impossible to quickly show the closeness of the connection between the subject and the opponent, for example: it is impossible to show whether the subject and the opponent of the opponent have financial transactions; and it is impossible to filter based on dimensions such as location, Screen out redundant data, and the analysis efficiency is low.

However, this program can select the opponents of P% of the total transaction amount through statistical analysis of the transaction data of the analysis subject (ie, the target transaction object), and then continue to select P%-x of the total transaction amount for the opponents of the selected opponents % opponents, and so on, until the end of the selection. And the transaction relationship between all selected counterparties is displayed in the form of a transaction link diagram, which clearly and intuitively shows the source and whereabouts of the subject's funds, and improves the efficiency of the subject's transaction relationship analysis.

As shown in Figure 2a, a transaction relationship analysis method, the specific process can be as follows:

201. The electronic device determines a target transaction object and a target object level to be analyzed currently.

Wherein, the target transaction object may refer to an object that requires transaction relationship analysis. For example, the auditor needs to analyze the customer qwe, and can input the information of the customer qwe into the electronic device, and the electronic device can determine the customer qwe as the target transaction object, and then conduct transactions on the customer qwe according to the transaction data of the customer qwe relationship analysis.

The program mainly includes three modules, as shown in Figure 2b, the first is the diffusion module, which is mainly to spread the capital transaction relationship of the target transaction object, and obtain the personnel who have a close financial transaction relationship with the target transaction object, followed by the data screening module , based on the data of each dimension to screen the diffused data, and finally the display module, which forms the data generated by the diffusion module and the data screening module into a capital transaction relationship diagram for analysts to use.

202. The electronic device obtains the transaction object to be analyzed and the transaction screening conditions corresponding to the target object level, as well as the transaction data of the transaction object to be analyzed, and determines the candidate transaction object of the transaction object to be analyzed according to the transaction data.

Wherein, the transaction data may include the transaction object with the transaction object to be analyzed, and the transaction amount between them (that is, the transaction object to be analyzed and the transaction object). The transaction filter conditions corresponding to each target object level can be set according to the actual situation.

For example, when the current target object level to be analyzed is the first object level, the transaction object to be analyzed corresponding to the target object level can be the target transaction object qwe, and then the transaction data of the target transaction object can be obtained, and the transaction data can include The transaction object and the transaction amount that are traded with the target transaction object. For example, as shown in Table 1 below:

Table 1 Transaction data of the target transaction object

ID sender receiver the amount time IP Xxx Qwe A 40 1/1/2020 xx.xx.xx Xxx Qwe B 30 1/1/2020 xx.xx.xx Xxx Qwe C 25 1/1/2020 xx.xx.xx Xxx Qwe D. 5 1/1/2020 xx.xx.xx … … … … … …

According to the transaction data of the target transaction object, determine at least one candidate transaction object (such as object A, object B, object C, object D, etc.) that conducts transactions with the target transaction object, the transaction corresponding to the first object level The filter condition can be the sum of the transaction amount between the candidate transaction object and the candidate transaction object in the first round (such as the sum of object A and object B, the sum of object A and object C, etc.), which is greater than p% of the total transaction amount of the target transaction object transaction object. For example, the transaction data of the target transaction object can be summarized to obtain the data in Table 2, as follows:

Table 2 Summary of Transaction Data of Target Transaction Objects

member the amount Qwe 100 A 40 B 30 C 25 D. 5 … …

Then, take the objects that are p% of the total transaction amount, for example, if the total transaction amount of the target transaction object is 100 yuan, and p is 60, then start from the candidate transaction object with the largest transaction amount, and the summary amount of the candidate transaction objects obtained is greater than When the price is 60 yuan, the selection is stopped.

Correspondingly, the transaction screening condition corresponding to the second object level can be the sum of the transaction amount between the candidate transaction object and the candidate transaction object in the second round, which is greater than p-x% of the total transaction amount of the target transaction object. The transaction screening condition corresponding to the third object level can be the sum of the transaction amount between the candidate transaction object and the candidate transaction object in the third round, which is greater than p-x-x% of the total transaction amount of the target transaction object. And so on, until it can't spread or the preset end condition is met. For example, for the diffused objects, the transaction data is extracted from the database again, summarized and diffused again. At this time, p will be reduced by x until it cannot be diffused in the end. For example, the default end condition can be set as when the percentage of the total transaction amount selected by the transaction filter condition is less than or equal to zero, the diffusion will end. For example, when p is 60, x can be 30, then the transaction screening condition of the first round of diffusion is the object of the top 60% of the total transaction amount, and the transaction screening condition of the second round of diffusion is the object of the top 30% of the total transaction amount , and the transaction screening condition for the third round of diffusion is the objects of the top 0% of the total transaction amount, the percentage of the total transaction amount is equal to zero, and the diffusion ends, that is, it cannot be diffused after two rounds of diffusion.

203. According to the transaction screening conditions, the electronic device selects the objects satisfying the transaction screening conditions from the candidate transaction objects.

For example, according to the transaction screening conditions, the electronic device can select an object that satisfies the transaction screening conditions from the candidate transaction objects, and obtain the transaction associated object of the target transaction object at the target object level, and the target transaction object and transaction association Transaction association relationship between objects.

Among them, in order to improve the efficiency of transaction relationship analysis, you can set the number of selected transaction-related objects, because the diffusion is mainly to find the main transaction capital flow, if too much expansion, it will affect the judgment efficiency, such as setting the number of selected transaction-related objects The number is 2, when two transaction related objects are selected, the selection can be stopped.

For example, as shown in Table 2, when A and B are selected, the total amount of the two (that is, the sum of the transaction amount between the candidate transaction object and the candidate transaction object and the target transaction object) is 70 yuan, and if it is greater than 60 yuan, then A and B B is determined as the transaction association object of the target transaction object at the first object level, and the transaction association relationship between the target transaction object qwe and object A, and the transaction association relationship between the target transaction object qwe and object B are obtained.

204. The electronic device updates the current transaction relationship set corresponding to the target transaction object according to the transaction association relationship, and obtains an updated transaction relationship set.

Wherein, the set of transaction relationships may include at least one object level and transaction association relationship corresponding to the object level. For example, after obtaining the transaction associated object of the target transaction object at the first object level and the transaction association relationship between the target transaction object and the transaction association object, the electronic device can use the transaction association object and the transaction association relationship. The data updates the current transaction relationship set corresponding to the target transaction object to obtain the updated transaction relationship set.

205. When the transaction relationship analysis does not meet the preset end condition, the electronic device takes the transaction-related object as the transaction object to be analyzed, and returns to step 201.

For example, after obtaining the transaction associated object of the target transaction object at the first object level, and the transaction association relationship between the target transaction object and the transaction associated object, the electronic device can determine whether the current transaction relationship analysis satisfies the preset end condition , if the preset end condition is not satisfied, the transaction-related object can be used as the transaction object to be analyzed, and the execution returns to step 201.

For example, the electronic device can determine that the target object level of the current analysis is the second object level, and use the transaction associated objects (object A and object B) of the target transaction object at the first object level as the transaction objects to be analyzed corresponding to the second object level , to obtain the transaction data of object A and object B, for example, as shown in Table 3 below:

Table 3 The second round of diffusion data

ID sender receiver the amount time IP Diffusion rounds Xxx A Q 20 1/1/2020 xx.xx.xx 2 Xxx A u 15 1/1/2020 xx.xx.xx 2 Xxx A V 5 1/1/2020 xx.xx.xx 2 Xxx B W 20 1/1/2020 xx.xx.xx 2 Xxx B x 10 1/1/2020 xx.xx.xx 2 … … … … … … …

Then, according to the second round of diffuse transaction screening conditions, the sum of the transaction amount between the candidate transaction object and the candidate transaction object in the second round is greater than p-x% of the total transaction amount of the target transaction object, that is, the top 30% of the total transaction amount The objects with the largest transaction amount are selected from the object, and when the summary amount of the transaction counterparty is greater than p-x=30 yuan, the selection is stopped. As shown in Table 3, when taking Q and U, the sum of the two amounts is 35 yuan, and if it is greater than 30 yuan, then take Q and U as the transaction related objects of the target transaction object at the second object level, and take W and X When , the sum of the two amounts is 30 yuan, which is equal to 30 yuan, then the two opponents are not selected, and the two objects Q and U are finally selected. Then diffuse Q and U until they cannot be diffused at last.

206. When the transaction relationship analysis meets the preset end condition, the electronic device determines the transaction screening range of the transaction relationship analysis, and filters out the target transaction relationship set from the updated transaction relationship set according to the transaction screening range.

For example, when the transaction relationship analysis satisfies the preset end condition, all the data obtained by the electronic device will be transmitted to the data screening module and the display module.

In order to improve the practicability of transaction relationship analysis and improve user experience, users can be provided with a quick and convenient operation page for users to select the transaction scope of transaction relationship analysis. Among them, the transaction scope can include transaction time range, transaction time period, transaction location and so on. For example, the electronic device can specifically display a transaction relationship analysis page, and the transaction relationship analysis page includes a filter control and a refresh control; in response to the filter operation for the filter control, determine the transaction screening range of the transaction relationship analysis; in response to the refresh control Refresh operation, based on the transaction screening range, determine the target transaction relationship set from the updated transaction relationship set. For example, after obtaining all the transaction data of the extension module, the transaction data included in the filter rules can be extracted according to the manually entered filter rules, and finally the obtained transaction data can be transferred to the front-end display module. For example, if the given rule is that the trading time is between 10:00 and 12:00, all transaction data in this time period in the transaction will be obtained and passed to the display module.

For example, as shown in Figure 2d, the transaction relationship analysis page can include transaction time range selection box (1), transaction time period selection box (2), transaction location selection box (3), transaction statistics (4), transaction funds link Show (5) etc.

The time range selection box (1), the time period selection box (2), and the transaction location selection box (3) are variable selection boxes. This part can be adjusted according to the needs of analysts. The specific operations are shown in Figure 2e, Figure 2f and Figure 2. 2g shown.

For example, as shown in Figure 2e, you can drag the movable selection boxes at both ends of the time range box to select the specific time in the time length box, so as to accurately select the predetermined transaction flow category of the member you want to analyze, and improve the analysis the accuracy rate.

For example, as shown in Figure 2f, in the part of the time period selection box, this part of the time period is divided into different time periods based on the actual time in the transaction, so as to split the specific time period. The analysis time period can be selected, and this part can select multiple time periods at the same time.

For example, as shown in Figure 2f, this part of the transaction location is extracted from the transaction location in the analysis flow, and the selection of this part is consistent with the selection of the time period.

The time range selection box and the time period selection box can be selected and adjusted, which is convenient for analyzing the specific trading time of the subject, and can accurately analyze the transaction situation in the specific time period in the predetermined time period of the subject, and can filter out the transactions before and after the peak value Specific conditions, and it is convenient to locate a specific time period in the transaction; the transaction location selection box can be selected for regulation, and this value can clearly display the capital transactions existing in the specific transaction location, which is convenient for the transaction of some personnel in a specific area for analysis.

207. The electronic device generates a transaction link relationship graph of the target transaction object based on the target transaction relationship set.

Wherein, the transaction link relationship diagram may include a plurality of node levels and links of nodes, each node level corresponds to an object level, and the links between the node levels indicate the transaction association relationship of the transaction objects between the object levels .

For example, the electronic device responds to the refresh operation for the refresh control, based on the transaction screening range, after determining the target transaction relationship set from the updated transaction relationship set, the transaction link of the target transaction object can be generated based on the target transaction relationship set relation chart.

For example, as shown in Figure 2h, after the variable selection box is selected, the refresh button can be clicked to refresh the display part, and the same can be applied to the interface data modification part.

The capital link display and transaction statistics part are the final result display part. The data in the display part is based on the analysis on the technical side and the display after the selection of the variable selection box. The transaction statistics part is the overall display of the basic data. The capital link The display is a detailed display of fund contacts, where the source and whereabouts of funds can be seen, and it assists analysts to conduct detailed analysis of specific important personnel.

In order to more clearly show the transaction association relationship between the target transaction object and the transaction association object, the location information of each transaction association object can be determined according to the transaction association relationship between them, and then the transaction link diagram of the target transaction object can be generated . For example, the electronic device may specifically determine the location information of each transaction-related object based on the updated transaction relationship set; and generate a transaction link diagram of the target transaction object based on the location information of the transaction-related object.

For example, the electronic device can specifically classify the transaction-related objects in the updated transaction relationship set to obtain the point relationship list of the target transaction object, and the point relationship list includes at least one transaction-related object, each transaction-related object The corresponding object level and the sequence number of the object level where each transaction-associated object is located.

Then, determine the number of transaction-related objects corresponding to each object level; based on the transaction objects to be analyzed corresponding to each object level, the number of transaction-related objects corresponding to each object level, and the sequence of transaction-related objects in each object level number, calculate the position information of the transaction-related object in each object level, and the position information is the position information of each transaction-related object relative to the transaction object to be analyzed in the object level.

Then, use the target transaction object and the transaction association object as nodes; classify the transaction association relationships in the updated transaction relationship set to obtain the edge relationship list of the target transaction object, and the edge relationship The list includes the target transaction object, the transaction associated object, and the edge relationship between the transaction associated objects; based on the edge relationship list, connect the nodes with the edge relationship, and use the connecting line between the nodes as the link of the node ; Based on the node and the link of the node, generate the transaction link relationship diagram of the target transaction object.

For example, the electronic device can specifically form point-edge relationship data for the acquired data, and perform calculations based on the point-edge relationship data to obtain coordinates of points in the plane for display. For example, the data obtained by the diffusion module and the data screening module can be classified and summarized to form a point-edge relationship table (that is, a point relationship list and an edge relationship list), as shown in Table 4 and Table 5 below:

Table 4 point relationship list

ID Name Diffusion rounds 1 A 1 2 B 1 … … …

Table 5 Edge relationship list

source whereabouts the amount qwe A 40 qwe B 30 … … …

Then, calculate the position of the point in the plane according to the data in the table, assuming that the point coordinate of the target transaction object is (0, 0), then the circular layout method can be used, and the number of members in the first round of diffusion is n, then The coordinates of each point are (R*cos(π*2*n/i), R*sin(π*2*n/i)), where i is the serial number of different points in the first round of diffusion, and R is The radius of the first round of diffusion. The diffused members in the second round are recalculated based on the coordinates of the diffused members in the first round, for example, it can be (R*cos(π*2*n/i)+r*cos(π*2*q/w) , R*sin(π*2*n/i)+r*sin(π*2*q/w)), where r is the radius of the second round of diffusion, q is the total number of members, and w is the serial number, and so on, the specific calculation process is shown in Figure 2c. Finally, according to the point coordinates, connect the points with edge relationship to form a transaction link relationship graph.

As can be seen from the above, this embodiment can determine the target transaction object and the current target object level to be analyzed; then, obtain the transaction object to be analyzed corresponding to the target object level and the transaction filtering conditions, as well as the transaction data of the transaction object to be analyzed, and according to The transaction data determines the candidate transaction object of the transaction object to be analyzed; then, according to the transaction screening condition, select the object that meets the transaction screening condition from the candidate transaction object, and obtain the transaction of the target transaction object at the target object level Associated objects, and the transaction association relationship between the target transaction object and the transaction association object; then update the current transaction relationship set corresponding to the target transaction object according to the transaction association relationship, and obtain the updated transaction relationship set, wherein, The transaction relationship set includes at least one object level and the transaction association relationship corresponding to the object level; then, according to the updated transaction relationship set, the transaction link relationship diagram of the target transaction object is generated, and the transaction link relationship diagram includes a plurality of nodes Each node level corresponds to an object level, and the links between the node levels indicate the transaction association relationship of the transaction objects between the object levels. Since this scheme can make statistics on the transactions of the analysis subject, select the opponents of P% of the total transaction amount, select at least one person, and continue to select the opponents of P%-x% of the total transaction amount for the selected opponents, and so on. All selected individuals are regarded as point relationships, and capital transactions between all individuals are extracted as edge relationships, and dimensions such as time and place are introduced into the edge relationships, and the circle layout algorithm is used for layout based on point-edge relationships, and time and other dimensions are used for screening When deleting the corresponding edge relationship and re-layouting, it can visually display the source and whereabouts of the main funds, the fund link is complete, and the analysis of funds through technical means saves manpower compared with manual analysis, and fund analysis is more efficient. Accurate; and by expanding the multi-layer counterparty, you can check whether there is a capital exchange between the subject and the counterparty, and you can conveniently and intuitively check the capital flow among multiple personnel, and it is more accurate than manual analysis. Reduce the interference and misjudgment of human subjective factors. You can also select opponents at specific times and locations for analysis, and screen opponents in different dimensions, which is convenient for intuitive analysis and accuracy of data, and enables specific and targeted analysis, providing convenience for analysts. This solution processes transactions based on technical means to make the capital link clear, which can provide assistance for individual capital link expansion and risk mining, and process complex flow to provide a clear capital link.

In order to better implement the above method, correspondingly, the embodiment of the present application also provides a transaction relationship analysis device, the transaction relationship analysis device can specifically be integrated in an electronic device, and the electronic device can be a server or a terminal, etc. equipment.

For example, as shown in Figure 3, the transaction relationship analysis device may include a determination unit 301, an acquisition unit 302, a screening unit 303, an update unit 304 and a generation unit 305, as follows:

A determination unit 301, configured to determine the target transaction object and the current target object level to be analyzed;

The obtaining unit 302 is used to obtain the transaction object to be analyzed and the transaction screening conditions corresponding to the target object level, as well as the transaction data of the transaction object to be analyzed, and determine the candidate transaction object of the transaction object to be analyzed according to the transaction data;

The screening unit 303 is configured to select an object that satisfies the transaction screening condition from the candidate transaction objects according to the transaction screening condition, and obtain the transaction associated object of the target transaction object at the target object level, as well as the target transaction object and transaction Transaction association relationship between associated objects;

The update unit 304 is configured to update the current transaction relationship set corresponding to the target transaction object according to the transaction association relationship, and obtain an updated transaction relationship set, wherein the transaction relationship set includes at least one object level, and the object level corresponding transaction relationship;

Generating unit 305, configured to generate the transaction link relationship diagram of the target transaction object according to the updated transaction relationship set, the transaction link relationship diagram includes multiple node levels and node links, and each node level corresponds to a Object level, the link between the node levels indicates the transaction association relationship of the transaction objects between the object levels.

Optionally, in some embodiments, the generating unit may be specifically configured to use the transaction-associated object as the transaction object to be analyzed when the analysis of the transaction relationship does not meet the preset end condition, and return to execute to determine the current The step of the target object level to be analyzed; when the transaction relationship analysis meets the preset end condition, generate the transaction link relationship diagram of the target transaction object according to the updated transaction relationship set.

Optionally, in some embodiments, the generation unit includes a determination subunit and a screening subunit, as follows:

Determine the subunit, used to determine the scope of transaction screening for transaction relationship analysis;

The screening subunit is configured to filter out a target transaction relationship set from the updated transaction relationship set according to the transaction screening range, and generate a transaction link relationship diagram of the target transaction object based on the target transaction relationship set.

Optionally, in some embodiments, the determining subunit may be specifically configured to display a transaction relationship analysis page, where the transaction relationship analysis page includes a screening control; in response to a screening operation directed at the screening control, determine the transaction relationship The transaction filter scope for the analysis.

Optionally, in some embodiments, the transaction relationship analysis page includes a refresh control, and the screening subunit can specifically respond to a refresh operation for the refresh control, based on the transaction screening range, from the updated transaction The relationship set determines the target transaction relationship set; generates the transaction link relationship diagram of the target transaction object based on the target transaction relationship set.

Optionally, in some embodiments, the generating unit includes a position subunit and a generating subunit, as follows:

The location subunit is used to determine the location information of each transaction-associated object based on the updated transaction relationship set;

The generation subunit is used to generate the transaction link relationship graph of the target transaction object based on the location information of the transaction-related object.

Optionally, in some embodiments, the location subunit can specifically be used to classify the transaction-related objects in the updated transaction relationship set to obtain the point relationship list of the target transaction object, and the The point relationship list includes at least one transaction-related object and the object level corresponding to each transaction-related object; based on the object level corresponding to the transaction-related object in the point relationship list, the position information of each transaction-related object is calculated.

Optionally, in some embodiments, the point relationship list includes the serial number of the object level where each transaction-related object is located, and the location subunit can specifically be used to determine the number of transaction-related objects corresponding to each object level ; Based on the transaction objects to be analyzed corresponding to each object level, the number of transaction-related objects corresponding to each object level, and the serial numbers of transaction-related objects in each object level, calculate the number of transaction-related objects in each object level Location information, where the location information is the location information of each transaction-related object relative to the transaction object to be analyzed at the object level.

Optionally, in some embodiments, the generating subunit may be specifically configured to use the target transaction object and the transaction association object as nodes; perform transaction association relationships in the updated transaction relationship set classification, to obtain the edge relationship list of the target transaction object, the edge relationship list includes the target transaction object and the transaction associated object, and the edge relationship between the transaction associated object; based on the edge relationship list, there will be edge relationships The nodes are connected, and the connection lines between the nodes are used as the links of the nodes; based on the nodes and the links of the nodes, a transaction link relationship diagram of the target transaction object is generated.

During specific implementation, each of the above units can be implemented as an independent entity, or can be combined arbitrarily as the same or several entities. For the specific implementation of each of the above units, please refer to the previous method embodiments, and no longer repeat.

As can be seen from the above, in this embodiment, the determination unit 301 can determine the target transaction object and the current target object level to be analyzed; Analyze the transaction data of the transaction object, and determine the candidate transaction object of the transaction object to be analyzed according to the transaction data; then, the screening unit 303 selects from the candidate transaction objects that meet the transaction screening condition according to the transaction screening condition object, to obtain the transaction associated object of the target transaction object at the target object level, and the transaction association relationship between the target transaction object and the transaction association object; then the update unit 304 corresponds to the target transaction object according to the transaction association relationship The current transaction relationship set is updated to obtain the updated transaction relationship set, wherein the transaction relationship set includes at least one object level and the transaction relationship corresponding to the object level; and then, the generation unit 305 generates the transaction relationship according to the updated transaction relationship set The transaction link relationship diagram of the target transaction object, the transaction link relationship diagram includes multiple node levels and node links, each node level corresponds to an object level, and the links between the node levels indicate the The transaction association relationship of transaction objects between object levels. Because this scheme can analyze the transaction of the target transaction object, select the transaction associated object that meets the transaction screening condition of the first object level, and continue to select the transaction associated object that meets the transaction screening condition of the second object level Transaction related objects, and so on. All the selected transaction-related objects are used as nodes, and the transaction-related relationships between all transaction-related objects are extracted as the links between nodes, and then the transaction link diagram of the target transaction object is generated to visually display the source of the target transaction object And whereabouts, the transaction link is complete, compared with manual analysis, it saves manpower, and the analysis of transaction relationship is more accurate. And by expanding the multi-layer transaction relationship object, you can check whether there is a transaction between the target transaction object and the transaction-related object of the transaction-related object. It is convenient and intuitive to check the transactions between multiple people, and compared with manual The analysis is more accurate, and the interference and misjudgment of human subjective factors are reduced.

In addition, the embodiment of the present application also provides an electronic device, as shown in Figure 4, which shows a schematic structural diagram of the electronic device involved in the embodiment of the present application, specifically:

The electronic device may include a processor 401 of one or more processing cores, a memory 402 of one or more computer-readable storage media, a power supply 403, an input unit 404 and other components. Those skilled in the art can understand that the structure of the electronic device shown in Figure 4 does not constitute a limitation to the electronic device, and may include more or fewer components than shown in the illustration, or combine some components, or arrange different components. in:

The processor 401 is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device, by running or executing software programs and/or modules stored in the memory 402, and calling the software programs stored in the memory 402. It executes various functions of the electronic equipment and processes the data, so as to monitor the electronic equipment as a whole. Optionally, the processor 401 may include one or more processing cores; preferably, the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application programs etc., the modem processor mainly handles wireless communication. It can be understood that the modem processor may not be integrated into the processor 401.

The memory 402 can be used to store software programs and modules, and the processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402. The memory 402 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playback function, an image playback function, etc.); Data and the like created according to the use of the electronic device may be stored. In addition, the memory 402 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices. Correspondingly, the memory 402 may further include a memory controller to provide the processor 401 with access to the memory 402.

The electronic device also includes a power supply 403 for supplying power to each component. Preferably, the power supply 403 can be logically connected to the processor 401 through the power management system, so as to realize functions such as managing charging, discharging, and power consumption management through the power management system. The power supply 403 can also include any components such as one or more DC or AC power sources, a recharging system, a power failure detection circuit, a power converter or an inverter, and a power status indicator.

The electronic device can also include an input unit 404, which can be used to receive input digital or character information, and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

Although not shown, the electronic device may also include a display unit, etc., which will not be repeated here. Specifically in this embodiment, the processor 401 in the electronic device will load the executable file corresponding to the process of one or more application programs into the memory 402 according to the following instructions, and the processor 401 will run the executable file stored in the memory 402. The application program in memory 402, thereby realizes various functions, as follows:

Determine the target transaction object and the current target object level to be analyzed; then, obtain the transaction object to be analyzed corresponding to the target object level and the transaction filter conditions, as well as the transaction data of the transaction object to be analyzed, and determine the transaction to be analyzed according to the transaction data The candidate transaction object of the object; then, according to the transaction screening condition, select the object that meets the transaction screening condition from the candidate transaction object, and obtain the transaction associated object of the target transaction object at the target object level, and the target transaction object The transaction association relationship with the transaction association object; then update the current transaction relationship set corresponding to the target transaction object according to the transaction association relationship, and obtain the updated transaction relationship set, wherein the transaction relationship set includes at least one object The transaction association relationship corresponding to the level and object level; Then, according to the updated transaction relationship set, generate the transaction link relationship diagram of the target transaction object, the transaction link relationship diagram includes multiple node levels and node links, Each node level corresponds to an object level, and the links between the node levels indicate the transaction association relationship of the transaction objects between the object levels.

For the specific implementation of the above operations, reference may be made to the foregoing embodiments, and details are not repeated here.

As can be seen from the above, this embodiment can determine the target transaction object and the current target object level to be analyzed; then, obtain the transaction object to be analyzed corresponding to the target object level and the transaction filtering conditions, as well as the transaction data of the transaction object to be analyzed, and according to The transaction data determines the candidate transaction object of the transaction object to be analyzed; then, according to the transaction screening condition, select the object that meets the transaction screening condition from the candidate transaction object, and obtain the transaction of the target transaction object at the target object level Associated objects, and the transaction association relationship between the target transaction object and the transaction association object; then update the current transaction relationship set corresponding to the target transaction object according to the transaction association relationship, and obtain the updated transaction relationship set, wherein, The transaction relationship set includes at least one object level and the transaction association relationship corresponding to the object level; then, according to the updated transaction relationship set, the transaction link relationship diagram of the target transaction object is generated, and the transaction link relationship diagram includes a plurality of nodes Each node level corresponds to an object level, and the links between the node levels indicate the transaction association relationship of the transaction objects between the object levels. Because this scheme can analyze the transaction of the target transaction object, select the transaction associated object that meets the transaction screening condition of the first object level, and continue to select the transaction that meets the transaction screening condition of the second object level for the selected transaction associated object Associated objects, and so on. All the selected transaction-related objects are used as nodes, and the transaction-related relationships between all transaction-related objects are extracted as the links between nodes, and then the transaction link diagram of the target transaction object is generated to visually display the target transaction object The source and whereabouts of the transaction, the transaction link is complete, compared with manual analysis, it saves manpower, and the analysis of transaction relationship is more accurate. And by expanding the multi-layer transaction relationship object, you can check whether there is a transaction between the target transaction object and the transaction-related object of the transaction-related object, and you can conveniently and intuitively view the transactions between multiple people. Manual analysis is more accurate, reducing the interference and misjudgment of human subjective factors.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by instructions, or by instructions controlling related hardware, and the instructions can be stored in a computer-readable storage medium, and is loaded and executed by the processor.

For this reason, the embodiment of the present application also provides a storage medium in which a plurality of instructions are stored, and the instructions can be loaded by the processor to perform any of the transaction relationship analysis methods provided in the embodiments of the present application. step. For example, the command can perform the following steps:

Determine the target transaction object and the current target object level to be analyzed; then, obtain the transaction object to be analyzed corresponding to the target object level and the transaction filter conditions, as well as the transaction data of the transaction object to be analyzed, and determine the transaction to be analyzed according to the transaction data The candidate transaction object of the object; then, according to the transaction screening condition, select the object that meets the transaction screening condition from the candidate transaction object, and obtain the transaction associated object of the target transaction object at the target object level, and the target transaction object The transaction association relationship with the transaction association object; then update the current transaction relationship set corresponding to the target transaction object according to the transaction association relationship, and obtain the updated transaction relationship set, wherein the transaction relationship set includes at least one object The transaction association relationship corresponding to the level and object level; Then, according to the updated transaction relationship set, generate the transaction link relationship diagram of the target transaction object, the transaction link relationship diagram includes multiple node levels and node links, Each node level corresponds to an object level, and the links between the node levels indicate the transaction association relationship of the transaction objects between the object levels.

For the specific implementation of the above operations, reference may be made to the foregoing embodiments, and details are not repeated here.

Wherein, the storage medium may include: a read-only memory (ROM, Read Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and the like.

Since the instructions stored in the storage medium can execute the steps in any transaction relationship analysis method provided by the embodiment of the present application, it is possible to realize the performance of any transaction relationship analysis method provided in the embodiment of the present application. For the beneficial effects realized, see the previous embodiments for details, and will not repeat them here.

A transaction relationship analysis method, device, electronic equipment and storage medium provided by the embodiments of the present application have been described above in detail. In this paper, specific examples have been used to illustrate the principles and implementation methods of the present application. The description of the above embodiments It is only used to help understand the method of the present application and its core idea; at the same time, for those skilled in the art, according to the idea of the present application, there will be changes in the specific implementation and scope of application. In summary, , the content of this specification should not be construed as a limitation on this application.

Claims (12)

1. A transaction relationship analysis method, characterized in that, comprising: Determine the target transaction object and the current target object level to be analyzed; Obtain the transaction object to be analyzed and the transaction screening conditions corresponding to the target object level, as well as the transaction data of the transaction object to be analyzed, and determine the candidate transaction object of the transaction object to be analyzed according to the transaction data; According to the transaction screening conditions, select the objects that meet the transaction screening conditions from the candidate transaction objects, and obtain the transaction associated objects of the target transaction object at the target object level, and the transaction association between the target transaction object and the transaction associated objects relation; Updating the current transaction relationship set corresponding to the target transaction object according to the transaction relationship, to obtain an updated transaction relationship set, wherein the transaction relationship set includes at least one object level, and a transaction relationship corresponding to the object level; Generate the transaction link relationship diagram of the target transaction object according to the updated transaction relationship set, the transaction link relationship diagram includes multiple node levels and node links, each node level corresponds to an object level, and the node level The link between indicates the transaction association relationship of the transaction objects between the object levels. 2. The method according to claim 1, wherein the generating the transaction link relationship diagram of the target transaction object according to the updated transaction relationship set includes: When the transaction relationship analysis does not meet the preset end condition, the transaction-related object is used as the transaction object to be analyzed, and the step of determining the level of the target object to be analyzed is returned; When the transaction relationship analysis satisfies the preset end condition, a transaction link relationship diagram of the target transaction object is generated according to the updated transaction relationship set. 3. The method according to claim 1, wherein the generating the transaction link relationship diagram of the target transaction object according to the updated transaction relationship set includes: Determine the scope of transaction screening for transaction relationship analysis; A target transaction relationship set is screened out from the updated transaction relationship set according to the transaction screening range, and a transaction link relationship graph of the target transaction object is generated based on the target transaction relationship set. 4. The method according to claim 3, wherein the determination of the transaction screening range for transaction relationship analysis comprises: displaying a transaction relationship analysis page, where the transaction relationship analysis page includes a filter control; In response to the filtering operation on the filtering control, the transaction filtering range for transaction relationship analysis is determined. 5. The method according to claim 4, wherein the transaction relationship analysis page includes a refresh control, and the target transaction relationship set is screened out from the updated transaction relationship set according to the transaction screening range, and based on the The target transaction relationship set generates the transaction link relationship graph of the target transaction object, including: In response to the refresh operation on the refresh control, based on the transaction screening range, determine the target transaction relationship set from the updated transaction relationship set; A transaction link relationship graph of the target transaction object is generated based on the target transaction relationship set. 6. The method according to claim 1, wherein the generating the transaction link relationship diagram of the target transaction object according to the updated transaction relationship set comprises: Determine the location information of each transaction-associated object based on the updated transaction relationship set; Based on the location information of the transaction-associated object, a transaction link relationship graph of the target transaction object is generated. 7. The method according to claim 6, wherein the determining the location information of each transaction-associated object based on the updated transaction relationship set comprises: Classify the transaction-related objects in the updated transaction relationship set to obtain a point relationship list of the target transaction object, the point relationship list including at least one transaction-related object and the object hierarchy corresponding to each transaction-related object; The location information of each transaction-related object is calculated based on the object hierarchy corresponding to the transaction-related object in the point relationship list. 8. The method according to claim 7, wherein the point relationship list includes the serial number of the object level where each transaction-related object is located, and based on the object level corresponding to the transaction-related object in the point relationship list, Calculate the location information of each transaction-related object, including: Determine the number of transaction-related objects corresponding to each object level; Based on the transaction object to be analyzed corresponding to each object level, the number of transaction-related objects corresponding to each object level, and the serial number of the transaction-related object in each object level, calculate the position of the transaction-related object in each object level Information, the position information is the position information of each transaction-related object relative to the transaction object to be analyzed at the object level. 9. The method according to claim 7, wherein the generating the transaction link relationship graph of the target transaction object based on the location information of the transaction-associated object comprises: Using the target transaction object and the transaction associated object as nodes; Classify the transaction association relationships in the updated transaction relationship set to obtain the edge relationship list of the target transaction object, and the edge relationship list includes the target transaction object and transaction association objects, and the edge relationship between transaction association objects ; Based on the edge relationship list, connect the nodes with edge relationship, and use the connection lines between the nodes as the links of the nodes; Based on the nodes and the links of the nodes, a transaction link relationship graph of the target transaction object is generated. 10. A transaction relationship analysis device, characterized in that it comprises: A determination unit is used to determine the target transaction object and the current target object level to be analyzed; An acquisition unit, configured to acquire the transaction object to be analyzed corresponding to the target object level and the transaction screening conditions, as well as the transaction data of the transaction object to be analyzed, and determine the candidate transaction object of the transaction object to be analyzed according to the transaction data; A screening unit, configured to select an object satisfying the transaction screening condition from the candidate transaction objects according to the transaction screening condition, and obtain the transaction associated object of the target transaction object at the target object level, as well as the target transaction object and the transaction associated object transaction relationship between An updating unit, configured to update the current transaction relationship set corresponding to the target transaction object according to the transaction association relationship, to obtain an updated transaction relationship set, wherein the transaction relationship set includes at least one object level, and a transaction relationship corresponding to the object level relation; A generating unit, configured to generate a transaction link relationship diagram of the target transaction object according to the updated transaction relationship set, the transaction link relationship diagram includes multiple node levels and node links, and each node level corresponds to an object level , the link between the node levels indicates the transaction association relationship of the transaction objects between the object levels. 11. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor so as to execute any one of claims 1 to 9. The steps in the transaction relationship analysis method. 12. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein, when the processor executes the program, the computer program according to any one of claims 1 to 9 is realized. steps of the method described above.

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