A Multi-Information Dissemination Model Based on Cellular Automata

Significant public opinion events often trigger pronounced fluctuations in online discourse. While existing models have been extensively employed to analyze the propagation of public opinion, they frequently overlook the intricacies of information dissemination among heterogeneous users. To comprehe...

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Bibliographic Details
Published in:Mathematics (Basel) 2024-03, Vol.12 (6), p.914
Main Authors: Shao, Changheng, Shao, Fengjing, Liu, Xin, Yang, Dawei, Sun, Rencheng, Zhang, Lili, Jiang, Kaiwen
Format: Article
Language:English
Subjects:
Accuracy
Analysis
Cellular automata
Communication
Forecasts and trends
Influence
Information dissemination
Internet
multi-information game
Propagation
propagation dynamics
Propagation modes
Public opinion
Robots
Social networks
User behavior
Viral infections
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Summary:Significant public opinion events often trigger pronounced fluctuations in online discourse. While existing models have been extensively employed to analyze the propagation of public opinion, they frequently overlook the intricacies of information dissemination among heterogeneous users. To comprehensively address the implications of public opinion outbreaks, it is crucial to accurately predict the evolutionary trajectories of such events, considering the dynamic interplay of multiple information streams. In this study, we propose a SEInR model based on cellular automata to simulate the propagation dynamics of multi-information. By delineating information dissemination rules that govern the diverse modes of information propagation within the network, we achieve precise forecasts of public opinion trends. Through the concurrent simulation and prediction of multi-information game and evolution processes, employing Weibo users as nodes to construct a public opinion cellular automaton, our experimental analysis reveals a significant similarity exceeding 98% between the proposed model and the actual user participation curve observed on the Weibo platform.
ISSN:2227-7390
2227-7390
DOI:10.3390/math12060914