Rumor spreading model considering hesitating mechanism in complex social networks

Ling-Ling Xia, Guo-Ping Jiang, Bo Song and Yu-Rong Song

Physica A: Statistical Mechanics and its Applications, 2015, vol. 437, issue C, 295-303

Abstract: The study of rumor spreading has become an important issue on complex social networks. On the basis of prior studies, we propose a modified ​susceptible–exposed–infected–removed (SEIR) model with hesitating mechanism by considering the attractiveness and fuzziness of the content of rumors. We derive mean-field equations to characterize the dynamics of SEIR model on both homogeneous and heterogeneous networks. Then a steady-state analysis is conducted to investigate the spreading threshold and the final rumor size. Simulations on both artificial and real networks show that a decrease of fuzziness can effectively increase the spreading threshold of the SEIR model and reduce the maximum rumor influence. In addition, the spreading threshold is independent of the attractiveness of rumor. Simulation results also show that the speed of rumor spreading obeys the relation “BA network > WS network”, whereas the final scale of spreading obeys the opposite relation.

Keywords: Rumor spreading model; Complex social networks; Hesitating mechanism; Threshold (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (51)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:437:y:2015:i:c:p:295-303

DOI: 10.1016/j.physa.2015.05.113

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