Credible and incredible user recognizing method based on feedforward neural network

A feedforward neural network and user identification technology, which is applied in the field of credible and untrustworthy user identification based on feedforward neural network, can solve problems such as insufficient flexibility, insufficient precision, and lack of intelligence

Inactive Publication Date: 2014-02-12
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The technical problem to be solved by the present invention is to overcome the problems of insufficient precision, insufficient flexibility, a

Method used

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  • Credible and incredible user recognizing method based on feedforward neural network
  • Credible and incredible user recognizing method based on feedforward neural network
  • Credible and incredible user recognizing method based on feedforward neural network

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Experimental program
Comparison scheme
Effect test

Embodiment

[0151] refer to figure 1 , the steps of the credible and untrustworthy user identification method based on the feedforward neural network described in the present invention are as follows:

[0152] 1. Obtain special users and users included in the training set

[0153] (1) Use Web Crawler to crawl user level information, build an initial user set through user level information, and refer to the results Figure 4 ;

[0154] (2) Delete the initial user set by determining the user method to obtain special users. For the results, refer to Figure 5 ;

[0155] (3) Use Web Crawler to crawl the user trust relationship, and build an initial social network based on the trust relationship. For the results, refer to Image 6 ;

[0156] (4) Obtain seed users according to the topology structure of the initial social network and the method of determining users, and use Web Crawler to crawl the trust relationship of seed users to build a social network. For the results, refer to Figur...

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Abstract

The invention discloses a credible and incredible user recognizing method based on a feedforward neural network. The method aims to solve the problems that in the prior art, precision is low, recognition bases are not sufficient, flexibility is poor and social network analysis granularity is rough. The method includes the steps of (1) obtaining a special user and determining users contained in a training set, (2) analyzing and quantifying user characteristics so as to represent the users as user characteristic vectors, (3) building the feedforward neural network, (4) training the feedforward neural network, and (5) achieving credible and incredible user recognition through the trained feedforward neural network. The credible and incredible user recognition includes the steps of (1) obtaining user information in a social network, (2) quantifying the user information to generate the user characteristic vectors, and (3) inputting the user characteristic vectors into the feedforward neural network and recognizing credible users and incredible users according to output values of output nodes.

Description

technical field [0001] The invention relates to a method for identifying trusted and untrusted users in the field of social networks, more precisely, the invention relates to a method for identifying trusted and untrusted users based on a feedforward neural network. Background technique [0002] Nowadays, social networks provide network users with a more convenient and fast platform for information exchange and resource sharing. However, due to the openness and virtuality of social networks, a large amount of false information or even false information floods the network space, leading to the growing phenomenon of dishonesty. Seriously, it has adverse effects on society and disrupts social order. Therefore, identifying false information on the Internet has become a key and hot research issue. Given that network users are the media for information release and dissemination, the primary task of identifying information authenticity is to identify credible and untrustworthy user...

Claims

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Application Information

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IPC IPC(8): G06N3/02
Inventor 王英左万利田中生王鑫彭涛王萌萌赵秋月
Owner JILIN UNIV
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