Agent-Based Simulation of Rumor Propagation on Social Network Based on Active Immune Mechanism

Chen Jianhong (), Song Qinghua () and Zhou Zhiyong ()
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Chen Jianhong: School of Resources and Safety Engineering, Central South University, Changsha410083, China
Song Qinghua: School of Resources and Safety Engineering, Central South University, Changsha410083, China
Zhou Zhiyong: School of Resources and Safety Engineering, Central South University, Changsha410083, China

Journal of Systems Science and Information, 2017, vol. 5, issue 6, 571-584

Abstract: To simulate the rumor propagation process on online social network during emergency, a new rumor propagation model was built based on active immune mechanism. The rumor propagation mechanisms were analyzed and corresponding parameters were defined. BA scale free network and NW small world network that can be used for representing the online social network structure were constructed and their characteristics were compared. Agent-based simulations were conducted on both networks and results show that BA scale free network is more conductive to spreading rumors and it can facilitate the rumor refutation process at the same time. Rumors paid attention to by more people is likely to spread quicker and broader but for which the rumor refutation process will be more effective. The model provides a useful tool for understanding and predicting the rumor propagation process on online social network during emergency, providing useful instructions for rumor propagation intervention.

Keywords: rumor; emergency; online social network; agent-based simulation; active immune (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:5:y:2017:i:6:p:571-584:n:6

DOI: 10.21078/JSSI-2017-571-14

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