Social network user relative influence measurement method

Abstract

The invention discloses a social network user relative influence measurement method, which comprises the steps of: 1, constructing network user relative influence measurement indexes; 2, calculating weight of each index; 3, constructing user text feature eigenvectors and field direction text eigenvectors, and calculating correlation degrees of a user and field directions; 4, and constructing a network user relative influence measurement model from the self relative and global relative perspectives, and calculating relative influence of the user. The social network user relative influence measurement method can define a range of fields under the action of network user influence, and measure the magnitude of influence of the user in different field directions, so as to identify the advantageous action field direction of the user influence, further reduce the difficulty of selecting the network user and improve the decision making quality.

Description

technical field [0001] The invention relates to a method for measuring network influence, in particular to a method for measuring the relative influence of social network users. technical background [0002] In the era of Web 2.0, UGC has become the mainstream channel for network content generation. More and more users actively retrieve, publish and disseminate information through the Internet, consciously accumulating their own network discourse influence. A large number of research results have shown that on social media platforms, influential network users are very important in terms of information dissemination and information guidance. The openness and complexity of the Internet means the diversity of Internet users and the diversity of Internet content. Due to differences in cultural background, knowledge construction, experience, social relations, and social activity capabilities, different Internet users have different areas of concern and topics, resulting in varyi...

AI Technical Summary

Problems solved by technology

[0004] Although existing studies have studied the measurement methods of network user influence from different perspectives, most of them measure the overall size of user influence, and rarely analyze the relative performance of user influence in terms of scope and intensity of action, and cannot comprehensively evaluate The utility value of user influence increases the difficulty of decision-making in selecting network users

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