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<p>This paper analyzes information diffusion, focusing mainly on competitive information within social networks. We introduce realistic factors, namely, the polarity of an individual towards a particular information, the level of trust between persons, and the decaying freshness of information in the network. We presented a model by incorporating these factors with the Susceptible-Infected-Recovered (SIR) model as a basis. We developed a web-based interface to simulate the model on user-uploaded graphs. The application simulates the spread of information based on the values of the user-defined parameters and generates a comprehensive visual report. Provision for simultaneously submitting multiple simulation jobs is also provided. We reported experimental results on several synthetic and real-world networks using the developed simulation platform.</p>

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Introducing individual biases, trust, and information freshness for competitive information diffusion model in social networks

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月26日

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  • Soumil Sinha,
  • Jahnab Dutta,
  • Anggy Eka Pratiwi,
  • Suman Kundu

摘要

This paper analyzes information diffusion, focusing mainly on competitive information within social networks. We introduce realistic factors, namely, the polarity of an individual towards a particular information, the level of trust between persons, and the decaying freshness of information in the network. We presented a model by incorporating these factors with the Susceptible-Infected-Recovered (SIR) model as a basis. We developed a web-based interface to simulate the model on user-uploaded graphs. The application simulates the spread of information based on the values of the user-defined parameters and generates a comprehensive visual report. Provision for simultaneously submitting multiple simulation jobs is also provided. We reported experimental results on several synthetic and real-world networks using the developed simulation platform.