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Research on Rumors of Social Networks Considering Game Between Nodes

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Complex, Intelligent, and Software Intensive Systems (CISIS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 772))

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Abstract

Considering that the spread of actual rumors is usually related to the communicator’s own interests, this paper proposes a rumor spreading model by means of game theory and studies the propagation dynamics of rumors. The model uses the selection of safety factors to describe the risk of rumors selection strategies, and introduces the conversion factor. The research shows that there exists a critical value of the selection safety factor in the network, and the speed of rumor propagation is small, then large, then smaller, and finally approaches zero. The study also found that the decision by both the conversion factor to choose the time factor and the conversion factor for both the rumor spreading effect, the greater the time conversion factor, the greater the rate of rumors; the greater the rate of self-selection rumor, the greater the spread of rumors, and the greater the rhythm of the rumors. The correctness of the model proposed in this paper is verified by real social network.

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Author information

Authors and Affiliations

  1. Network and Information Security Key Laboratory, Engineering University of the People’s Armed Police Force, Xi’an, 710086, China

    Yazhou Liu, Xiaozhong Pan, Jing Wang & Wei Fu

  2. Department of Computer Science and Technology, Xi’an Hi Tech Research Institute, Xi’an, 710086, China

    Jing Wang

Authors
  1. Yazhou Liu
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  2. Xiaozhong Pan
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  3. Jing Wang
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  4. Wei Fu
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Corresponding author

Correspondence to Yazhou Liu .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology , Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, COMSATS Institute of Information Technology , Islamabad, Pakistan

    Nadeem Javaid

  3. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology , Fukuoka, Japan

    Makoto Ikeda

  4. Department of Advanced Sciences, Hosei University , Tokyo, Japan

    Makoto Takizawa

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Liu, Y., Pan, X., Wang, J., Fu, W. (2019). Research on Rumors of Social Networks Considering Game Between Nodes. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_98

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