Method and system for ranking influence of social network nodes

A social network and influence technology, applied in the field of social network node influence ranking method and system, can solve the problems of one-sided consideration of factors and inaccurate results, and achieve the effect of accurate analysis

Active Publication Date: 2019-01-18
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to provide a method and system capable of synthesizing social network user information and accurately judging social user node influence and its ranking, so as to solve the one-sided considerations of existing social network node influence analysis methods in the above-mentioned background technology , technical problems with inaccurate results

Method used

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  • Method and system for ranking influence of social network nodes
  • Method and system for ranking influence of social network nodes

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Experimental program
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Embodiment 1

[0087] Such as figure 1 As shown, Embodiment 1 of the present invention provides a social network node influence ranking system, which includes:

[0088] The data preprocessing module is used to collect user personal homepage information, user post information and user pair information, and preprocess the personal homepage information and the user post information to form a training set and a test set;

[0089] A training module, configured to establish a transfer matrix model of posts according to the training set, perform simulation calculations on the transfer matrix model, and obtain optimal training parameters;

[0090] The test module is used to establish a test transition matrix for post forwarding according to the test set and the optimal training parameters, calculate the test transition matrix, and obtain the ranking result of the influence of the social network nodes.

[0091] In the first embodiment of the present invention, the data preprocessing module specifica...

Embodiment 2

[0110] Such as figure 2 As shown, Embodiment 2 of the present invention provides a method for ranking the influence of social network nodes using the system described in Embodiment 1. The method includes the following process steps:

[0111] Step S110: collecting user personal homepage information, user posting information and user pair information, performing preprocessing on the personal homepage information and the user posting information to form a training set and a testing set;

[0112] Step S120: According to the training set, establish a post transfer matrix model, perform simulation calculation on the transfer matrix model, and obtain optimal training parameters;

[0113] Step S130: Establish a test transition matrix for post forwarding based on the test set and the optimal training parameters, calculate the test transition matrix, and obtain the ranking result of the influence of the social network nodes.

[0114] In the second specific embodiment of the present in...

Embodiment 3

[0149] Such as image 3 As shown, the third embodiment of the present invention provides a social network node influence ranking system, the system includes:

[0150] The data preprocessing unit 21 obtains the Sina Weibo data set MicroblogPCU from the network, and performs simple preprocessing to generate 4 training sets and test sets in the form required by this design, which are respectively: training set user personal information form, training set user Follow information form, test set user personal information form, test set user follow information form;

[0151] The first training unit 22, according to the training set, generates a transfer matrix Pm for post forwarding, where m is 0 to 1 and 11 sampling values ​​at equal intervals of 0.1, corresponding to generate different transfer matrices Pm;

[0152] The second training unit 23, according to 11 different transfer matrices Pm, conducts the post propagation simulation experiment of "the number of posts transferred", ...

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Abstract

The invention provides a social network node influence sorting method and a system, which relate to the technical field of digital information processing. The method includes: collecting user personalhome page information, user posting information and user-to-user information, pretreating the personal home page information, user posting information and user-to-user information to form a trainingset and a test set; Then, according to the training set, establishing the transfer matrix model of the post, and performing simulation calculation of the transfer matrix model to obtain the optimal training parameters; Finally, according to the test set and the optimal training parameters, establishing a test transfer matrix for post forwarding, and calculating the test transfer matrix to obtain the ranking result of the influence of the social network nodes. The invention can discover the attention possibility of the hidden node so as to carry out influence ranking analysis on the data network whose dynamic information is incomplete and seriously missing. In the absence of social network data, it can more accurately analyze the impact of social network nodes.

Description

technical field [0001] The invention relates to the technical field of digital information processing, in particular to a method and system for ranking social network node influence. Background technique [0002] In the information age, the analysis of the relationship between people is one of the important cornerstones for measuring personal value, promoting related products, realizing public opinion monitoring, and planning related construction. According to statistics, as of March 2017, the Android and Apple application markets have a total of about 5 million APPs. How to better recommend APPs to users is a key issue to improve user experience and increase corporate revenue. However, the existing APP recommendation The strategy is mainly based on the user's personal information, and does not consider the impact of the influence of the user group in the social network on it. However, when users download or purchase APPs, they will inevitably be influenced by friends in so...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/00G06Q10/06
CPCG06Q10/0639G06Q50/01
Inventor 熊菲杨佳佩刘云张振江
Owner BEIJING JIAOTONG UNIV
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