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A cross-social network entity identity analysis method

A technology of social networking and analytical methods, applied in data processing applications, instruments, digital data authentication, etc., can solve problems such as inconvenience, redundant network supervision of user information, and inability to further study differences in user behavior, to ensure accuracy, The effect of improving the recognition accuracy

Inactive Publication Date: 2019-01-29
WUHAN UNIV
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Problems solved by technology

[0003] The challenge of cross-social network entity user association identification is that the same user has social accounts on different social networks, and the behaviors on these social networks may be different, and it is impossible to effectively identify these accounts from the same user, resulting in inability to Further research on user behavior differences on different social networks, while the redundancy of user information brings inconvenience to network supervision

Method used

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  • A cross-social network entity identity analysis method
  • A cross-social network entity identity analysis method
  • A cross-social network entity identity analysis method

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Embodiment Construction

[0019] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0020] please see figure 1 , the present invention provides a cross-social network entity identity resolution method, comprising the following steps:

[0021] Step 1: Use the VMN algorithm to calculate the user name similarity between each user in one network and each user in another network;

[0022] The VMN algorithm is an algorithm specially designed to calculate fuzzy matching between names. The algorithm combines exact matching with partial matching to obtain the final matching result.

[0023] Step 2: Calculate the user environment score of each user ...

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Abstract

The invention discloses a cross-social network entity identity analysis method. On the basis of fully utilizing user name information and link information, the invention uses a cross matching method based on ranking to carry out user identity identification. First, the user with the highest current score is selected as the candidate matching user by using the Username Similarity (UNS) and the UserSurrounding Score (USS). Then, the user matching score (UMS), that is, the combination of user name similarity and user environment score, is calculated, and the matching users are determined according to the score. Finally, the cross matching method is used to improve the matching accuracy.

Description

technical field [0001] The invention belongs to the technical field of identity identification, relates to a user identification method, and in particular to a cross-social network entity identity analysis method. technical background [0002] In recent years, with the large-scale popularization of social networks, social networks have played an increasingly important role in people's lives. According to statistics, the number of Chinese netizens using social networking sites, Weibo and various vertical social applications has reached 530 million, and the usage rates of Qzone and Weibo are 65.1% and 33.5% respectively. Social networks have a large number of users, but only a small proportion of users undergo real-name authentication, which allows malicious users to wantonly spread various rumors and bad information, which brings great challenges to Internet supervision. Since users use fictitious account names instead of real names in social networking spaces, accounts of t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/31G06Q50/00
CPCG06F21/31G06Q50/01
Inventor 王中元黄志兵何政胡瑞敏
Owner WUHAN UNIV
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