Modeling rumor propagation and refutation with time effect in online social networks

Yaming Zhang (), Yanyuan Su, Weigang Li () and Haiou Liu ()
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Yaming Zhang: School of Economics and Management, Yanshan University, Qinhuangdao 066004, P. R. China
Yanyuan Su: School of Economics and Management, Yanshan University, Qinhuangdao 066004, P. R. China
Weigang Li: Department of Computer Science, University of Brasilia, 70910-900 Brasilia, DF, Brazil
Haiou Liu: School of Economics and Management, Yanshan University, Qinhuangdao 066004, P. R. China

International Journal of Modern Physics C (IJMPC), 2018, vol. 29, issue 08, 1-22

Abstract: Rumor propagation and refutation form an important issue for spreading dynamics in online social networks (OSNs). In this paper, we introduce a novel two-stage rumor propagation and refutation model with time effect for OSNs. The dynamical mechanism of rumor propagation and refutation with time effect is investigated deeply. Then a two-stage model and the corresponding mean-field equations in both homogeneous and heterogeneous networks are obtained. Monte Carlo simulations are conducted to characterize the dynamics of rumor propagation and refutation in both Watts–Strogatz network and Barabási–Albert network. The results show that heterogeneous networks yield the most effective rumor and anti-rumor spreading. Besides, the sooner authority releases anti-rumor and the more attractive anti-rumor is, the less rumor influence is. What’s more, these findings suggest that individuals’ ability to control themselves and identify rumor accurately should be improved to reduce negative impact of rumor effectively. The results are helpful to understand better the mechanism of rumor propagation and refutation in OSNs.

Keywords: Rumor propagation; rumor refutation; time effect; homogeneous networks; heterogeneous networks (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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DOI: 10.1142/S0129183118500687

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