Nonlinear Dynamics

, Volume 95, Issue 1, pp 523–539 | Cite as

Rumor propagation dynamic model based on evolutionary game and anti-rumor

  • Yunpeng XiaoEmail author
  • Diqiang Chen
  • Shihong Wei
  • Qian Li
  • Haohan Wang
  • Ming Xu
Original Paper


In the online social network, the spreading process of rumor contains complex dynamics. The traditional research of the rumor propagation mainly studies the spreading process of rumor from the perspectives of rumor and participating user. The symbiosis and confrontation of rumor and anti-rumor information and the dynamic changes of the influence of anti-rumor information are not emphasized. At the same time, people’s profitability and herd psychology are also ignored. In view of the above problems, we fully consider the anti-rumor information and user’s psychological factors, construct a rumor propagation dynamics model based on evolutionary game and anti-rumor information, and provide a theoretical basis for studying the inherent laws in the spreading process of rumor. First of all, we analyze the interaction pattern and characteristic of rumor in social network. In allusion to the symbiosis of rumor and anti-rumor information and the dynamic changes of the influence of anti-rumor information, we constructed the SKIR rumor propagation model based on the SIR model. Secondly, due to rivalry between rumor and anti-rumor information, as well as the user’s profitability and herd psychology, we use evolutionary game theory to construct the driving force mechanism of information and explore the causes of user behavior in the spreading process of rumor. At the same time, we combine the behavior factors and external factors of the user to build the influence of information by multivariate linear regression method, which provides the theoretical basis for the driving force of information. Finally, combining the SKIR model proposed in this paper, we get a rumor propagation dynamics model based on evolutionary game and anti-rumor information. We have proved by experiments that the model can effectively describe the propagating situation of rumor and the dynamic change rule of the influence of anti-rumor information. On the other hand, it can also reflect the influence of people’s psychology on rumor propagation.


Social networks Rumor propagation Anti-rumor Evolutionary game 



This paper is partially supported by the National Natural Science Foundation of China (Grant No. 61772098); Chongqing Science and Technology Commission Project (Grant No. cstc2017jcyjAX0099) and Chongqing Key Research and Development Project (Grant Nos. cstc2017zdcy-zdyf0299, cstc2017zdcy-zdyf0436) and Chongqing Graduate Education Teaching Reform Project (Grant No. yjg183081).

Compliances with ethical standard

Conflict of interest

The authors declare that they have no conflict of interests.


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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Chongqing Engineering Laboratory of Internet and Information SecurityChongqing University of Posts and TelecommunicationsChongqingChina
  2. 2.Beijing Key Laboratory of Intelligence Telecommunication Software and MultimediaBeijing University of Posts and TelecommunicationsBeijingChina
  3. 3.Language Technologies Institute, School of Computer ScienceCarnegie Mellon UniversityPittsburghUSA
  4. 4.Research Institute of Information TechnologyTsinghua UniversityBeijingChina

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