Method for detecting suspected online water armies for microblog

A discovery method and microblogging technology, applied in other database retrieval, network data retrieval, instruments, etc., can solve problems such as inability to discover groups, achieve full utilization, strong modularity, and reduce complexity
CN106940732AInactive Publication Date: 2017-07-11NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
Publication Date
2017-07-11
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a method for detecting suspected online water armies for microblog, and belongs to the technical field of computer application. The method for detecting suspected online water armies for the microblog comprises the following six steps: correspondingly related microblog data collecting; data preprocessing; user characteristics extracting; training set building; water armies detection model training; and unlabeled data predicting and distinguishing. Compared with the prior art, the method for detecting suspected online water armies for the microblog has the advantages that the full utilization of the data is realized, the group discovery is conducted conveniently and quickly, a complicated classification detection model is not needed to be established, so that the complexity of an algorithm is reduced, the modularity of the algorithm is relatively high, the algorithm can be put into large-scale data for calculation, and the stability is relatively high; a single user can be conducted on online water armies detection, a group of users in a certain event can be identified, the modularity of the method is extremely high and the method can be stably applied to large-scale data calculation framework.
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Description

technical field

[0001] The method relates to a microblog-oriented method for discovering suspected trolls, and belongs to the technical field of social network analysis and data mining. Background technique

[0002] In the past several years, social networking has become one of the main ways for people to keep in touch with relatives and friends on the Internet. Statistics show that people spend much more time on social networking sites than on other sites. Most social networking sites provide access services through mobile devices, which also makes social networking sites more frequent.

[0003] The rapid popularity and widespread use of social networks allows these sites to collect a large amount of information about users, their friends, and their interests. Unfortunately, the convenient way of information dissemination and a large amount of valuable data have also attracted the attention of many illegal groups or individuals, and social networks are regarded by them as...

Claims

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