Method and system for dividing user community structure of microblog network

Abstract

The invention discloses a user community structure division method and system for a microblog network, and the method comprises the steps: collecting microblog network user data, and carrying out the data inspection and preprocessing, and obtaining the available microblog network user data; processing the obtained available microblog network user data by utilizing a plurality of typical clustering methods to generate a series of independent initial user community structure division results of the microblog network; processing the generated initial user community structure division result by using a WCT method to obtain microblog network user data global structure information description; constructing a graph neural network clustering integration framework, and integrating the obtained global structure information description of the microblog network user data to obtain a user community structure division result of the microblog network; and outputting a user community structure division result of the microblog network. According to the method and systm, the robustness, accuracy and stability of microblog network user community structure division can be improved.

Description

technical field [0001] The invention relates to the technical field of Web data mining, in particular to a method and system for dividing user community structures of a microblog network. Background technique [0002] In recent years, Weibo, as a broadcast network platform, has provided users with a broad space for sharing and communication. With the increasing number of microblog network users, how microblog operators provide users with more accurate services is a problem that needs to be solved at present. The massive data generated by microblog network users on the platform contains rich user behavior information. Through the analysis and research of microblog network user data, more commercial value and practical significance contained in microblog network user data can be obtained, thereby Provide support for microblog operators' precision marketing, personalized service recommendation, product recommendation and other tasks. [0003] At present, the task of dividing ...

AI Technical Summary

Problems solved by technology

[0003] At present, the task of dividing the user community structure of the microblog network is often implemented using clustering methods. However, the clustering method currently used is relatively simple. There are deficiencies; on the other hand, there is a topological structure in the microblog network user data, and these clustering methods do not fully mine the relationship between the microblog network users, resulting in unsatisfactory division results of the microblog network user community structure

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