Integrated data mining method for similarity of accounts on social network sites

Abstract

The present invention discloses an integrated data mining method for similarity of accounts on social network sites. The method can be used for monitoring online public opinions and solves the identification problem that the same user has a plurality of accounts on the social network sites. The method disclosed by the invention comprehensively considers three factors which affect the integrated similarity of the accounts of the social network sites: personal attribute, inter-behavior and content, and determines the weight of the similarity of each factor in calculation of the integrated similarity by using a training sample. Compared to the prior art, the method disclosed by the invention has the technical advantages that (1) the method provides quantitative, reliable and comprehensive reference for identifying the plurality of the accounts on the social network sites of the same user and is suitable for automatic processing by a computer under a big data environment; and (2) the weight of the similarity of the each factor in the calculation of the integrated similarity is determined by adopting the training sample, so that the consistence of the result and a manual processing result can be maintained.

Description

technical field [0001] The invention belongs to computer Internet data mining technology, which is used for computer Internet data dissemination control, in particular to a comprehensive data mining method for social networking site account similarity. Background technique [0002] The rise of social networking sites represented by Weibo has greatly increased the speed and breadth of Internet information dissemination. Users of social networking sites can spread information on a large scale in a very short period of time through operations such as "mutual powdering", reposting, commenting, and "reposting". This kind of short-term and large-scale information dissemination not only brings great convenience to users in obtaining information, but also brings serious problems of the proliferation of Internet rumors. [0003] In order to deal with the flood of rumors on the Internet, public opinion monitoring is an indispensable link in the management of social networking sites. ...

AI Technical Summary

Problems solved by technology

The existing social networking site data mining methods cannot be directly applied to the similarity analysis of social networking site accounts. The degree of similarity between social networking site accounts; 2) The similarity between social networking site accounts is a comprehensive indicator affected by many factors, including: personal attributes, posting content, forwarding patterns, etc., and the current data mining methods lack the influence correlation Comprehensive consideration of various factors, so it is not suitable for correlation analysis between social networking site accounts

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