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CSRT rumor spreading model based on complex network

  • Shan Ai
  • , Sheng Hong*
  • , Xinyang Zheng
  • , Yue Wang
  • , Xiaozhang Liu
  • *Corresponding author for this work
  • Hainan University
  • Guangzhou University
  • College of Computer Science and Technology
  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

Rumors mislead judgments of people, affect economic development, and the stability of social order. The research on the rule of spreading rumors is significant and meaningful. This paper improves the traditional Barabási–Albert scale-free network and proposes a network topology model that conforms to the characteristics of sharing social networks based on the complex network theory and the actual characteristics of sharing social networks. In addition, the credulous spider rational taciturn rumor propagation model is proposed by improving the credulous spider rational model, which solves the overspread problem of the traditional rumor propagation model. This paper further studies the influence of anxiety on the spread of rumors, and finds that the anxiety of audience is increasing with the spread degree of rumors.

Original languageEnglish
Pages (from-to)1903-1913
Number of pages11
JournalInternational Journal of Intelligent Systems
Volume36
Issue number5
DOIs
StatePublished - May 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • anxiety level
  • online social network
  • rumor spreading
  • transmission dynamics

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