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Agent-Based Simulation of Rumor Propagation on Social Network Based on Active Immune Mechanism
Jianhong CHEN, Qinghua SONG, Zhiyong ZHOU
Journal of Systems Science and Information ›› 2017, Vol. 5 ›› Issue (6) : 571-584.
PDF(387 KB)
PDF(387 KB)
Agent-Based Simulation of Rumor Propagation on Social Network Based on Active Immune Mechanism
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.
rumor / emergency / online social network / agent-based simulation / active immune {{custom_keyword}} /
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Supported by the National Natural Science Foundation of China (51374242, 51504286), China Postdoctoral Science Foundation (2015M572270), the Fundamental Research Funds for the Central Universities of Central South University (2015zzts079)
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