CN103248626B - A kind of information dissemination method and system - Google Patents

Abstract

This application discloses an information dissemination method and system, which are applied to a network platform. The network platform includes at least two servers. The server receives the target information sent by the user and the target information dissemination conditions; The user registration information of the target information is determined to determine the target information dissemination range of the target information; the server sends the target information according to the target information dissemination range. In this application, the server determines the target information propagation range covered by the target information and the propagation conditions of the target information, and then sends the target information according to the target information propagation range to solve the existing technology. In the process of information propagation, usually because some servers Passively receiving information when there is no need for information leads to the problem that information dissemination is not widespread.

Description

A method and system for disseminating information

technical field

The present application relates to the technical field of network platforms, in particular to an information dissemination method and system.

Background technique

With the rapid development of network technology, the network platform has become an important tool for people to disseminate information.

The process of information dissemination on the network platform is to first disseminate the information to some servers in the network platform, and then directly send the information to other servers through this part of the server; or let this part of the server display the received information, so that other servers This information is passively obtained during the access to this part of the server.

In the prior art, in the process of information dissemination, usually because some servers passively receive the information when there is no demand for the information, the dissemination of information is not widespread.

Contents of the invention

In view of this, the embodiment of the present application provides an information dissemination method and system to solve the problem in the prior art. In the process of information dissemination, it is usually because some servers passively receive the information when there is no demand for information, resulting in The problem of poor dissemination of information.

In order to achieve the above objectives, the technical solutions provided in the embodiments of the present application are as follows:

A method of disseminating information, applied to a network platform, including at least two servers on the network platform, including:

The server receives the target information sent by the user and the target information dissemination conditions;

The server determines the target information dissemination range of the target information according to the target information dissemination conditions and the user registration information preset on the server;

The server sends the target information according to the propagation range of the target information.

Preferably, the server sending the target information according to the target information propagation range includes:

The server determines the target information type of the target information according to the target information and a preset information type table on the server;

The server calculates the target information transmission range of the target information according to the target information type, the target information propagation range and the information type propagation probability table preset on the server;

The server sends the target information according to the target information sending range.

Preferably, the generation process of the information type propagation probability table is:

receiving information interaction data between each of the servers;

calculating the dissemination probability of different types of information between each of the servers according to the information interaction data;

An information type propagation probability table is generated according to the propagation probability.

Preferably, the server calculates the target information transmission range of the target information according to the target information type, the target information propagation range and the information type propagation probability data table preset on the server, including:

Assigning the preset target information to be received range to the target information sending range;

iteratively calculating the influence of each of the servers on the target information type;

sort the influence in descending order to generate an initial influence sequence;

generating a final influence sequence according to the target information to-be-received range, the preset target information range that cannot be received, and the initial influence sequence;

Acquiring the leader element in the final influence sequence;

Adding the leader element to the target information sending range until the sum of the influences of the servers in the target information sending range on the target information covers the target information propagation range.

An information dissemination system, applied to a network platform, including at least two servers on the network platform,

The server is used to receive target information and target information dissemination conditions sent by users, determine the target information dissemination range of the target information according to the target information dissemination conditions and user registration information preset on the server, and Sending the target information within the propagation range of the target information.

Preferably, the server includes: an information receiving unit, a propagation range determining unit, and an information sending unit, wherein,

The information receiving unit is used to receive the target information sent by the user and the propagation conditions of the target information;

The propagation range determination unit is connected to the information receiving unit, and is used to determine the target information propagation range of the target information according to the target information propagation conditions and the preset user registration information on the server;

The information sending unit is connected to the propagation range determining unit, and is configured to send the target information according to the target information propagation range.

Preferably, the information sending unit includes: an information type determination unit, an information sending range calculation unit, and an information sending subunit, wherein,

The information type determining unit is connected to the information receiving unit, and is used to determine the target information type of the target information according to the target information and a preset information type table on the server;

One end of the information transmission range calculation unit is connected to the propagation range determination unit, and the other end is connected to the information type determination unit, and is used to transmit information according to the target information type, the target information propagation range and the server. calculating the target information sending range of the target information on the pre-set information type propagation probability data table;

The information sending subunit is connected to the information sending range calculation unit, and is used for sending the target information according to the target information sending range.

Preferably, the system further includes an information type propagation probability table generation unit,

The information type propagation probability table generation unit includes: an information interaction data receiving unit, a propagation probability calculation unit, and an information type propagation probability table generation subunit, wherein,

The information interaction data receiving unit is used to receive information interaction data between each of the servers;

The propagation probability calculation unit is connected to the information interaction data receiving unit, and is used to calculate the propagation probability of different information types between each of the servers according to the information interaction data;

The information type propagation probability table generation subunit is connected to the propagation probability calculation unit, and is used to generate an information type propagation probability table according to the propagation probability.

Preferably, the information transmission range calculation unit includes: an assignment unit, an influence calculation unit, an initial influence sequence generation unit, a final influence sequence generation unit, a team leader element acquisition unit, and an information transmission range calculation subunit, wherein,

The assigning unit is used to assign the preset target information to be received range to the target information sending range;

The influence calculation unit is connected to the value assignment unit, and is used to iteratively calculate the influence of each of the servers on the target information type;

The initial influence sequence generation unit is connected to the influence calculation unit, and is used to sort the influence in descending order to generate an initial influence sequence;

The final influence sequence generation unit is connected to the initial influence sequence generation unit, and is used to generate the final influence according to the range of the target information to be received, the preset target information range that cannot be received, and the initial influence sequence. force sequence;

The leader element acquisition unit is connected to the final influence sequence generation unit, and is used to acquire the leader element in the final influence sequence;

One end of the information transmission range calculation subunit is connected to the assignment unit, and the other end is connected to the queue head element acquisition unit, and is used to add the queue head element to the target information transmission range until The sum of the influence of each server on the target information within the target information sending range covers the target information propagation range.

It can be seen that this application provides an information dissemination method and device. The method mainly receives the target information sent by the user and the target information dissemination conditions through the server; The target information dissemination range of the information; finally, the target information is sent according to the target information dissemination range. In this application, the server determines the target information propagation range covered by the target information and the propagation conditions of the target information, and then sends the target information according to the target information propagation range to solve the existing technology. In the process of information propagation, usually because some servers Passively receiving information when there is no need for information leads to the problem that information dissemination is not widespread.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments described in this application. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

FIG. 1 is a flowchart of an information dissemination method provided in Embodiment 1 of the present application;

FIG. 2 is a flow chart of an information dissemination method provided in Embodiment 2 of the present application;

FIG. 3 is a flow chart of a method for generating an information type propagation probability table provided in Embodiment 3 of the present application;

FIG. 4 is a flowchart of a method for calculating the sending range of target information provided in Embodiment 4 of the present application;

FIG. 5 is a schematic diagram of a detailed structure of a server provided in Embodiment 5 of the present application;

FIG. 6 is a schematic diagram of a detailed structure of another server provided in Embodiment 5 of the present application;

FIG. 7 is a schematic diagram of a detailed structure of an information transmission range calculation unit provided in Embodiment 5 of the present application;

FIG. 8 is a schematic diagram of a detailed structure of an information type propagation probability table generating unit provided in Embodiment 5 of the present application.

detailed description

In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described The embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

Embodiment one:

FIG. 1 is a flowchart of an information dissemination method provided in Embodiment 1 of the present application.

As shown in Figure 1, the method includes:

S101. The server receives target information and target information propagation conditions sent by a user.

In the embodiment of the present application, when a user needs to spread information in the network, the target information to be sent is usually sent to a server in the network, and then the server sends the target information to other servers in the network. Among them, the target information sent by the user can be various information, such as car information, book information, etc.; the target information dissemination conditions are the dissemination conditions of the target information set by the user, such as the nature of the server in the network to which the target information is sent. Wait.

S102. The server determines the target information dissemination range of the target information according to the target information dissemination conditions and the user registration information preset on the server.

In this embodiment of the application, user registration information can be preset in all servers in the network, and the target information propagation condition received by the server from the user can be the target information propagation condition matching the user registration information. At this time, the server can The target information dissemination conditions and the preset user registration information in the server determine the target information dissemination range of the target information, that is, which specific servers in the network the server needs to send the target information to.

S103. The server sends the target information according to the propagation range of the target information.

It can be seen that the present application provides an information dissemination method, which mainly receives the target information sent by the user and the target information dissemination conditions through the server; then determines the target information according to the target information dissemination conditions and the user registration information preset on the server The target information dissemination range; finally, the target information is sent according to the target information dissemination range. In this application, the server determines the target information propagation range covered by the target information and the propagation conditions of the target information, and then sends the target information according to the target information propagation range to solve the existing technology. In the process of information propagation, usually because some servers Passively receiving information when there is no need for information leads to the problem that information dissemination is not widespread.

Embodiment two:

FIG. 2 is a flow chart of an information dissemination method provided in Embodiment 2 of the present application.

As shown in Figure 2, the method includes:

S201. The server receives target information and target information propagation conditions sent by a user.

S202. The server determines the target information dissemination range of the target information according to the target information dissemination conditions and the user registration information preset on the server.

The execution process of steps S201-S202 provided in the embodiment of the present application is the same as the execution process of steps S101-S102 provided in the first embodiment of the present application. For the detailed description of the steps S201-S202 provided in the embodiment of the present application, please refer to the first embodiment of the present application Steps S101-S102 in , will not be repeated here.

S203. The server determines the target information type of the target information according to the target information and the information type table preset on the server.

In the embodiment of this application, the server is preset with an information type table. After determining the spread range of the target information, the server will determine the target of the target information according to the received target information sent by the user and the preset information type table. information type.

S204. The server calculates the target information transmission range of the target information according to the target information type, the target information propagation range, and the information type propagation probability data table preset on the server.

In this embodiment of the application, the server is also preset with an information type propagation probability table. After the target information type is determined, the server will propagate the probability data table according to the target information type, the target information propagation range and the information type preset on the server. , calculate the target information sending range of the target information, the target information sending range is a part of the server in the network, the server that receives the target information sent by the user sends the target information to this part of the server, and then according to the interactivity of the network, make The target information is propagated, so that the target information spread range covers the target information spread range.

S205. The server sends the target information according to the target information sending range.

In addition, in the embodiment of the present application, it also includes a calculation method of providing remuneration for servers within the target information sending range, assuming that the default of the target information is B, the server S within the target information sending range is used as an example for illustration below, the The reward obtained by server S is:

${\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; the\; s</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; the\; s</span>}}}{{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}_{\mathrm{<span\; class="notranslate">\; the\; s</span>}<span\; class="notranslate">\; \&Element;</span>\mathrm{<span\; class="notranslate">\; S</span>}}{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; the\; s</span>}}}<span\; class="notranslate">\; \&Center\; Dot;</span>\mathrm{<span\; class="notranslate">\; B</span>}$

It can be seen that the present application provides an information dissemination method, which is mainly after the server receives the target information sent by the user and the target information dissemination conditions, calculates the target information sending range of the target information, and then sends the target information according to the target information The range is sent out. This method calculates the target information transmission range, then sends the target information to a specific server according to the target information transmission range, and then transmits the target information through the network to cover the target information transmission range, thereby further solving the existing technology. In the process of information dissemination, usually because some servers passively receive information when there is no demand for information, the problem of information dissemination is not widespread.

Embodiment three:

FIG. 3 is a flow chart of a method for generating an information type propagation probability table provided in Embodiment 3 of the present application.

As shown in Figure 3, the method includes:

S301. Receive information exchange data between servers.

In the embodiment of the present application, the information interaction data between various servers may be data such as information forwarding and comments among various servers.

S302. Calculate the propagation probabilities of different types of information among the servers according to the information interaction data.

In the embodiment of this application, the relationship between each server is regarded as an edge, and each server is regarded as a node, and the information type propagation probability parameter on each edge is calculated mainly through three levels through the Bayesian method , let's take the c-th type of information on the k-th edge as an example to consider the problem of its propagation probability calculation.

A) Level 1 (global parameters a ⁽¹⁾ , b ⁽¹⁾ ): Assume that there are a total of L edges (numbered 1, 2, ... L) on the global network, and at least one of its nodes has information of type c. For the k-th edge (i, j) among the L edges, if the c-th type of information appears M times on node i, and node j forwards N times of them (note that M must not be 0 here, otherwise (i, j) are not among the above L edges), then the propagation probability of the kth edge is p _k =N/M. For all L edges, let their propagation probabilities be p ₁ , p ₂ ,...p _L . make:

$\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; L</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}^{\mathrm{<span\; class="notranslate">\; L</span>}}{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}$

$\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; L</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}^{\mathrm{<span\; class="notranslate">\; L</span>}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}$

but,

${\mathrm{<span\; class="notranslate">\; a</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; =</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; \&CenterDot;</span>\frac{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}}}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}}}$

${\mathrm{<span\; class="notranslate">\; b</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \&Center\; Dot;</span>\frac{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}}}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; p</span>}}}}$

B) Level 2 (user parameters a _i ⁽²⁾ , b _i ⁽²⁾ ): Suppose node i has reposted or shared N _i times of information of type c, and b nodes related to him have reposted n ₁ of them ,n ₂ ,…n _b times, let:

$\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; b</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}^{\mathrm{<span\; class="notranslate">\; b</span>}}\frac{{\mathrm{<span\; class="notranslate">\; no</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}}{{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}$

$\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; b</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}^{\mathrm{<span\; class="notranslate">\; b</span>}}{<span\; class="notranslate">\; (</span>\frac{{\mathrm{<span\; class="notranslate">\; no</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}}{{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}$

but

${\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; =</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}<span\; class="notranslate">\; \&Center\; Dot;</span>\frac{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}}}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}}}$

${\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \&Center\; Dot;</span>\frac{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}}}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}}}$

C) Level 3 (edge parameters a _k ⁽³⁾ , b _k ⁽³⁾ ): Assume that node i in the kth edge (i, j) has forwarded or shared information of the c-th class N _i =a ₃ +b ₃ times, and node j forwarded a ₃ times, then

${\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 3</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}$

${\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 3</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}$

Finally, the c-th type of information propagation probability on the k-th edge (i, j) is jointly determined by the parameters of the three levels, namely:

${\mathrm{<span\; class="notranslate">\; t</span>}}_{\mathrm{<span\; class="notranslate">\; ijc</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; a</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 3</span>}<span\; class="notranslate">\; )</span>}}{{\mathrm{<span\; class="notranslate">\; a</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 3</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; b</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}^{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 3</span>}<span\; class="notranslate">\; )</span>}}$

S303. Generate an information type propagation probability table according to the propagation probability.

It can be seen that the present application provides a method for generating information type propagation probability tables. The method first receives information interaction data between servers, and then calculates the propagation probabilities of different information types between servers according to the information interaction data. Finally, according to Propagation probability generates an information type propagation probability table. By providing a method for generating an information type propagation probability table, the information propagation method provided by this application is clearer and more complete.

Embodiment four:

FIG. 4 is a flow chart of a method for calculating a target information sending range provided in Embodiment 4 of the present application.

As shown in Figure 4, the method includes:

S401. Assign the preset target information to-be-received range to the target information sending range.

In the embodiment of this application, when the server receives the target information sent by the user as A, and determines that the target information type of the target information is C, and the target information corresponding to the target information spreads to T, the information preset in the server The type propagation probability table is G, the range E of target information cannot be received, and the range K of target information is to be received.

First, assign the pre-set target information receiving range to the target information sending range, that is, S=K.

S402. Iteratively calculate the influence of each server on the target information type.

In the embodiment of this application, the influence P _i of each server on the target information type C is iteratively calculated in the following manner:

1) Initially, for each user P _i =0;

2) If user i ∈ T, then:

${\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}{\mathrm{<span\; class="notranslate">\; t</span>}}_{\mathrm{<span\; class="notranslate">\; ijc</span>}}}{{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}{\mathrm{<span\; class="notranslate">\; t</span>}}_{\mathrm{<span\; class="notranslate">\; ijc</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; a</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\underset{\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; t</span>}}_{\mathrm{<span\; class="notranslate">\; ijc</span>}}{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span>$

if the user but:

${\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}{\mathrm{<span\; class="notranslate">\; t</span>}}_{\mathrm{<span\; class="notranslate">\; ijc</span>}}}{{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}{\mathrm{<span\; class="notranslate">\; t</span>}}_{\mathrm{<span\; class="notranslate">\; ijc</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}<span\; class="notranslate">\; (</span>\underset{\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; t</span>}}_{\mathrm{<span\; class="notranslate">\; ijc</span>}}{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span>$

Where α is a positive number, generally taken as 0.2.

3) Iterate step 2) until _Pi converges.

This step will yield the influence of each server i on the target information type.

S403. Sort the influence in descending order to generate an initial influence sequence.

In the embodiment of the present application, the influence is sorted in descending order to generate the initial influence sequence Se.

S404. Generate a final influence sequence according to the target information to-be-received range, the preset target information range that cannot be received, and the initial influence sequence.

In the embodiment of the present application, the target information range E that cannot be received and the target information range K to be received are eliminated from the initial influence sequence Se to generate the final influence sequence Se0.

S405. Obtain the team leader element in the final influence sequence.

Get the leader element in the final influence sequence Se0.

S406. Add the team leader element to the target information sending range until the sum of the influence of each server on the target information in the target information sending range covers the target information propagation range.

In the embodiment of the present application, add the obtained leader element in the final influence sequence Se0 to the sending range of the target information, return to step S401, and repeat the steps S401-S406 provided in the fourth embodiment of the present application until the target information The sum of the influence of each server within the sending range on the target information covers the target information propagation range.

It can be seen that the present application provides a flow chart of a method for calculating the target information sending range. The method first assigns the preset target information to be received range to the target information sending range, iteratively calculates the influence of each server on the target information type, Then sort the influence in descending order to generate the initial influence sequence; generate the final influence sequence according to the range of target information to be received, the pre-set unacceptable target information range and the initial influence sequence; finally obtain the final The team head element in the influence sequence, add the team head element to the target information transmission range until the sum of the influence of each server on the target information within the target information transmission range covers the target information transmission range. This application makes the information dissemination method provided by this application clearer and more complete by providing a calculation method for the target information transmission range.

Embodiment five:

Embodiment 5 of the present application provides an information dissemination system, the system is applied to a network platform, and the network platform includes at least two servers.

When a server on the network platform receives the target information sent by the user and the target information dissemination conditions, the server determines the target information dissemination of the target information according to the received target information dissemination conditions and the user registration information preset on the server. range, and send target information according to the target information propagation range. Wherein, the target information dissemination range refers to which specific server in the network the target information should be sent to.

FIG. 5 is a schematic diagram of a detailed structure of a server provided in Embodiment 5 of the present application.

As shown in FIG. 5 , the server in the network platform includes: an information receiving unit 1 , a propagation range determining unit 2 and an information sending unit 3 .

Wherein, the information receiving unit 1, the propagation range determining unit 2 and the information sending unit 3 are connected in sequence.

The function of the information receiving unit 1 is to receive the target information sent by the user and the propagation conditions of the target information.

The propagation range determination unit 2 is connected to the information receiving unit 1, and the propagation range determination unit 2 determines the target information propagation range of the target information according to the received target information propagation conditions and the user registration information preset on the server.

The information sending unit 3 is connected to the propagation range determining unit 2, and the information sending unit 3 sends the target information according to the received target information propagation range.

FIG. 6 is a schematic diagram of a detailed structure of another server provided in Embodiment 5 of the present application.

As shown in FIG. 6 , the detailed structure of the server includes: an information receiving unit 1 , a transmission range determining unit 2 , an information type determining unit 31 , an information sending range calculating unit 32 and an information sending subunit 33 .

Wherein, the propagation range determining unit 2 is connected with the information receiving unit 1; the information type determining unit 31 is connected with the information receiving unit 1; one end of the information sending range calculating unit 32 is connected with the information type determining unit 31, and the other end is connected with the propagation range The determining unit 2 is connected; the information sending subunit 33 is connected with the information sending range calculating unit 32 .

The function of the information receiving unit 1 is to receive the target information sent by the user and the propagation conditions of the target information.

The propagation range determination unit 2 is connected to the information receiving unit 1, and the propagation range determination unit 2 determines the target information propagation range of the target information according to the received target information propagation conditions and the user registration information preset on the server.

The information type determination unit 31 is connected with the information receiving unit 1, and the information type determination unit 31 determines the target information type of the target information according to the received target information and the preset information type table on the server.

One end of the information transmission range calculation unit 32 is connected with the information type determination unit 31, and the other end is connected with the transmission range determination unit 2, and the information transmission range calculation unit 32 is based on the received target information type and the target information transmission range, and on the server. The pre-set information type propagation probability data table calculates the target information sending range of the target information.

The information sending subunit 33 is connected with the information sending range calculation unit 32, and is used for sending the target information according to the received target information sending range.

FIG. 7 is a schematic diagram of a detailed structure of an information transmission range calculation unit provided in Embodiment 5 of the present application.

As shown in Figure 7, the information transmission range calculation unit includes: an assignment unit 321, an influence calculation unit 322, an initial influence sequence generation unit 323, a final influence sequence generation unit 324, a leader element acquisition unit 325, and an information transmission range calculation unit. Subunit 326.

Among them, the value assignment unit 321, the influence calculation unit 322, the initial influence sequence generation unit 323, the final influence sequence generation unit 324, the leader element acquisition unit 325 and the information transmission range calculation subunit 326 are connected in sequence, and the information transmission range The calculation subunit 326 is connected with the assignment unit 321 .

The assigning unit 321 is configured to assign the preset target information to-be-received range to the target information sending range.

The influence calculation unit 322 is connected to the value assignment unit 321, and the influence calculation unit 322 iteratively calculates the influence of each server on the target information type.

The initial influence sequence generation unit 323 is connected to the influence calculation unit 322 , and the initial influence sequence generation unit 323 sorts the influence in descending order to generate the initial influence sequence.

The final influence sequence generation unit 234 is connected to the initial influence sequence generation unit 323, and the final influence sequence generation unit 324 generates the final influence sequence according to the target information to be received range, the preset target information range that cannot be received, and the initial influence sequence. sequence.

The leader element acquisition unit 325 is connected to the final influence sequence generating unit 324, and the leader element acquisition unit 325 acquires the leader element in the final influence sequence.

One end of the information transmission range calculation subunit 326 is connected with the value assignment unit 321, and the other end is connected with the queue head element acquisition unit 325, and the information transmission range calculation subunit 326 adds the queue head element to the target information transmission range until the target information The sum of the influence of each server within the sending range on the target information covers the target information propagation range.

FIG. 8 is a schematic diagram of a detailed structure of an information type propagation probability table generating unit provided in Embodiment 5 of the present application.

As shown in Figure 8, the information type propagation probability table generation unit includes: information interaction data receiving unit 41, propagation probability calculation unit 42 and information type propagation probability table generation subunit 43, wherein, information interaction data reception unit 41, propagation probability calculation unit 43 The unit 42 is sequentially connected with the information type propagation probability table generation subunit 43.

The information exchange data receiving unit 41 is configured to receive information exchange data between various servers.

The propagation probability calculation unit 42 is connected to the information interaction data receiving unit 41, and the propagation probability calculation unit 42 calculates the propagation probability of different types of information between each server according to the information interaction data;

The information type propagation probability table generation subunit 43 is connected with the propagation probability calculation unit 42, and the information type propagation probability table generation subunit 43 generates the information type propagation probability table according to the propagation probability.

It can be seen that the present application provides an information propagation device, which includes an information receiving unit, a propagation range determination unit, and an information sending unit, wherein the information receiving unit is used to receive the target information sent by the user and the target information propagation conditions; the propagation range is determined The unit is used to determine the target information dissemination range of the target information according to the target information dissemination conditions and the user registration information preset on the server; the information sending unit is used to send the target information according to the target information dissemination range. This application determines the target information and target information The target information propagation range covered by the propagation conditions, and then send the target information according to the target information propagation range, to solve the existing technology, in the process of information propagation, usually because some servers passively receive information when there is no demand for information , leading to the problem of not widespread information dissemination.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other. As for the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for the related information, please refer to the description of the method part.

The above are only preferred embodiments of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the application. Therefore, the present application will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (6)

1. A method for disseminating information, applied to a network platform, comprising at least two servers on the network platform, characterized in that, comprising: The server receives the target information sent by the user and the target information dissemination conditions; The server determines the target information dissemination range of the target information according to the target information dissemination conditions and the user registration information preset on the server; The server sends the target information according to the spread range of the target information; The sending of the target information by the server according to the propagation range of the target information includes: The server determines the target information type of the target information according to the target information and a preset information type table on the server; The server calculates the target information transmission range of the target information according to the target information type, the target information propagation range and the information type propagation probability table preset on the server; The server sends the target information according to the target information sending range. 2. method according to claim 1, is characterized in that, the generation process of described information type propagation probability table is: receiving information interaction data between each of the servers; calculating the dissemination probability of different types of information between each of the servers according to the information interaction data; An information type propagation probability table is generated according to the propagation probability. 3. The method according to claim 2, wherein the server calculates the target information type according to the target information type, the target information propagation range and the information type propagation probability data table preset on the server. The target information sending scope of the information, including: Assigning the preset target information to be received range to the target information sending range; iteratively calculating the influence of each of the servers on the target information type; sort the influence in descending order to generate an initial influence sequence; generating a final influence sequence according to the target information to-be-received range, the preset target information range that cannot be received, and the initial influence sequence; Acquiring the leader element in the final influence sequence; Adding the leader element to the target information sending range until the sum of the influences of the servers in the target information sending range on the target information covers the target information propagation range. 4. An information dissemination system applied to a network platform, characterized in that the network platform includes at least two servers, The server is used to receive target information and target information dissemination conditions sent by users, determine the target information dissemination range of the target information according to the target information dissemination conditions and user registration information preset on the server, and sending the target information within the target information dissemination range; The server includes: an information receiving unit, a propagation range determining unit, and an information sending unit, wherein, The information receiving unit is used to receive the target information sent by the user and the propagation conditions of the target information; The propagation range determination unit is connected to the information receiving unit, and is used to determine the target information propagation range of the target information according to the target information propagation conditions and the preset user registration information on the server; The information sending unit is connected to the propagation range determination unit, and is used to send the target information according to the target information propagation range; The information sending unit includes: an information type determination unit, an information sending range calculation unit and an information sending subunit, wherein, The information type determining unit is connected to the information receiving unit, and is used to determine the target information type of the target information according to the target information and a preset information type table on the server; One end of the information transmission range calculation unit is connected to the propagation range determination unit, and the other end is connected to the information type determination unit, and is used to transmit information according to the target information type, the target information propagation range and the server. calculating the target information sending range of the target information on the pre-set information type propagation probability data table; The information sending subunit is connected to the information sending range calculation unit, and is used for sending the target information according to the target information sending range. 5. The system according to claim 4, further comprising an information type propagation probability table generating unit, The information type propagation probability table generation unit includes: an information interaction data receiving unit, a propagation probability calculation unit, and an information type propagation probability table generation subunit, wherein, The information interaction data receiving unit is used to receive information interaction data between each of the servers; The propagation probability calculation unit is connected to the information interaction data receiving unit, and is used to calculate the propagation probability of different information types between each of the servers according to the information interaction data; The information type propagation probability table generation subunit is connected to the propagation probability calculation unit, and is used to generate an information type propagation probability table according to the propagation probability. 6. The system according to claim 5, wherein the information transmission range calculation unit comprises: an assignment unit, an influence calculation unit, an initial influence sequence generation unit, a final influence sequence generation unit, and a leader element acquisition unit unit and information sending range calculation subunit, where, The assigning unit is used to assign the preset target information to be received range to the target information sending range; The influence calculation unit is connected to the value assignment unit, and is used to iteratively calculate the influence of each of the servers on the target information type; The initial influence sequence generation unit is connected to the influence calculation unit, and is used to sort the influence in descending order to generate an initial influence sequence; The final influence sequence generation unit is connected to the initial influence sequence generation unit, and is used to generate the final influence according to the range of the target information to be received, the preset target information range that cannot be received, and the initial influence sequence. force sequence; The leader element acquisition unit is connected to the final influence sequence generation unit, and is used to acquire the leader element in the final influence sequence; One end of the information transmission range calculation subunit is connected to the assignment unit, and the other end is connected to the queue head element acquisition unit, and is used to add the queue head element to the target information transmission range until The sum of the influence of each server on the target information within the target information sending range covers the target information propagation range.