Social network-oriented multi-information and multi-dimensional network information propagation model and method

Abstract

The invention discloses a social network-oriented multi-information and multi-dimensional network information propagation model and method, and belongs to the field of social network analysis. The method comprises the following steps of: firstly, obtaining social network data and preprocessing the data; secondly, extracting user information, user behaviors and user relationships from real data, and constructing a multi-dimensional network space by using a cosine similarity method; thirdly, establishing a model, importing influence factors on the basis of traditional epidemic models through using an epidemic model mechanism for reference, so as to express interaction relationships and intensities between different pieces of information, and then constructing a multi-information and multi-dimensional space network-based information propagation model; and finally, carrying out simulation analysis, constructing a kinetic equation from a micro perspective and a macro perspective so as to analyze a common evolution trend of two messages. The model and method more accord with real scenes of information propagation and are more beneficial for research of information propagation processes.

Description

technical field [0001] The invention belongs to the field of social network analysis, relates to information dissemination modeling, and reveals the influence of the interaction between multiple information and the complexity of information driving factors on the information dissemination situation. Background technique [0002] With the development of Internet technology, online social networks are ubiquitous in people's lives. Users use social networks to exchange a lot of information, including hot news, religious beliefs, fashion trends and even emotions. Therefore, while social networks change people's traditional communication methods and provide convenience for life, they also provide researchers with important research data. The study of social network has important practical significance for the monitoring of public opinion and the marketing of commodities. Therefore, in recent years, it has also attracted many scholars to study social networks. [0003] Building...

AI Technical Summary

Problems solved by technology

However, previous studies often focused on the propagation situation of a single piece of information in the network, ignoring the influence of other information on the propagation trend.

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