Information propagation model and propagation method based on chaotic theory

Abstract

The invention request to protect an information propagation prediction model based on the chaotic theory, and belongs to the information propagation analysis field; the model is formed by the flowing steps: obtaining true data sources from social networks, building a user-static multidimensional forwarding factor attribute mechanism, predicting user dynamic behavior characteristics, and building a hot topic propagation model. The following steps are listed: firstly, obtaining related data, and obtaining a data set; secondarily, extracting various behavior characteristics affecting the user from the user, information and user relation angles, and quantifying the information propagation probability; then, using the chaotic theory to predict user dynamic behaviors; finally, combining information diffusion and infectious disease propagating similar propagation mechanisms on the basis of a conventional infectious disease SIR model, fully considering the dynamic behavior characteristics, and improving so as to obtain the information propagation model based on the chaotic theory and user behaviors. The method and model can effectively represent the information propagation dynamic trends in the social networks, thus finding the important influence factors in information propagation.

Description

technical field [0001] The invention relates to the field of social network analysis, relates to the modeling of online social network information dissemination, and reveals the internal laws and trends of dissemination of hot topics. Background technique [0002] With the development of information technology and the Internet, especially the rapid popularization of mobile terminals in recent years, online social networking software represented by Facebook, Twitter, WeChat, and Weibo has become an important tool in people's daily life. The vigorous development of online social networks and the rapid growth of active users have made online social networks with various attributes such as sociality and information sharing rapidly become an ideal ideal for people to disseminate information, control public opinion, sell products, express opinions, and generate social influence. The platform has attracted the attention of more and more universities and corporate research instituti...

AI Technical Summary

Problems solved by technology

[0004] Current research mainly focuses on the influence of network static characteristics on information dissemination, but ignores the dynamic characteristics of the network, such as user influence and attention relationship among users, which are constantly changing in social networks.

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