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

被引:15
作者
Zhang, Yaming [1 ]
Su, Yanyuan [1 ]
Li Weigang [2 ]
Liu, Haiou [1 ]
机构
[1] Yanshan Univ, Sch Econ & Management, Qinhuangdao 066004, Peoples R China
[2] Univ Brasilia, Dept Comp Sci, BR-70910900 Brasilia, DF, Brazil
来源
INTERNATIONAL JOURNAL OF MODERN PHYSICS C | 2018年 / 29卷 / 08期
基金
中国国家自然科学基金;
关键词
Rumor propagation; rumor refutation; time effect; homogeneous networks; heterogeneous networks; SPREADING MODEL; COMPLEX; MECHANISM; DYNAMICS; MALWARE; EMERGENCE;
D O I
10.1142/S0129183118500687
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 Barabasi-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.
引用
收藏
页数:22
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