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The influence of positive news on rumor spreading in social networks with scale-free characteristics

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  • Yongcong Luo

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, P. R. China)

  • Jing Ma

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, P. R. China)

Abstract

We explore the impact of positive news on rumor spreading in this paper. It is a fact that most of the rumors related to hot events or emergencies can be propagated rapidly on the hotbed of online social networks. In Chinese words, it is better to divert rather than block. Therefore, we propose the spreading model ISSPR in which positive news is a good factor to guide rumor spreading. Based on transition probability method, we have got the spreading parameters of the ISSPR model by running the rumor spreading process in online social networks with scale-free characteristics. The results give a good proof that improving the activity of the positive news spreader SP derived from the ISSPR model can guide and restrain the spreading speed of rumor smoothly.

Suggested Citation

  • Yongcong Luo & Jing Ma, 2018. "The influence of positive news on rumor spreading in social networks with scale-free characteristics," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 29(09), pages 1-13, September.
    • Handle: RePEc:wsi:ijmpcx:v:29:y:2018:i:09:n:s012918311850078x
    DOI: 10.1142/S012918311850078X
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    Cited by:

    1. Changheng Shao & Fengjing Shao & Xin Liu & Dawei Yang & Rencheng Sun & Lili Zhang & Kaiwen Jiang, 2024. "A Multi-Information Dissemination Model Based on Cellular Automata," Mathematics, MDPI, vol. 12(6), pages 1-17, March.

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