The propagation and inhibition of rumors in online social network

被引：21
|
作者：
Gu Yi-Ran [1 ]
Xia Ling-Ling [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing 210046, Jiangsu, Peoples R China
来源：
ACTA PHYSICA SINICA | 2012年 / 61卷 / 23期
基金：
国家高技术研究发展计划(863计划);
关键词：
online social network; rumor spreading; SEIR model; important acquaintance immunization strategy;
D O I：
10.7498/aps.61.238701
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In this paper, a new rumor spreading SEIR model is proposed with considering both the spreading characteristics of rumors in the real online social network and the epidemic dynamics models with latency. First, the dynamical evolution equations based on the SEIR model are established. Then an efficient immunization strategy-important acquaintance immunization strategy, is given for the inhibition of rumor spreading. Finally, based on the user datasets of Facebook, the SEIR model and its dynamical evolution equations with various immunization strategies including important acquaintance immunization strategy are utilized in the computer simulation for the evolution process of rumor spreading before and after immunization. Simulation results show that SEIR model conforms to propagation characteristics of the real online social network, and the important acquaintance immunization strategy is an optimal scheme to solve the inhibition of rumor spreading in the online social network.
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页数：7
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