SEIR Model of Rumor Spreading in Online Social Network with Varying Total Population Size

被引：39

作者：

Dong, Suyalatu ^{[1
]}

Deng, Yan-Bin ^{[1
]}

Huang, Yong-Chang ^{[1
]}

机构：

[1] Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China

来源：

COMMUNICATIONS IN THEORETICAL PHYSICS | 2017年 / 68卷 / 04期

基金：

中国国家自然科学基金;

关键词：

online social network; rumor spreading model; equilibrium point; varying population size;

D O I：

10.1088/0253-6102/68/4/545

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Based on the infectious disease model with disease latency, this paper proposes a new model for the rumor spreading process in online social network. In this paper what we establish an SEIR rumor spreading model to describe the online social network with varying total number of users and user deactivation rate. We calculate the exact equilibrium points and reproduction number for this model. Furthermore, we perform the rumor spreading process in the online social network with increasing population size based on the original real world Facebook network. The simulation results indicate that the SEIR model of rumor spreading in online social network with changing total number of users can accurately reveal the inherent characteristics of rumor spreading process in online social network.

引用

页码：545 / 552

页数：8

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