An extended SEIR model considering homepage effect for the information propagation of online social networks

In this work we extend the SEIR model as in epidemic disease modeling to investigate the propagation dynamics of the information online. Here, we go one step further and takes the homepage effect into consideration, acting as the infectious sources in infectious diseases. Aside of the mathematical a...

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Bibliographic Details
Published in:Physica A 2018-12, Vol.512, p.1019-1031
Main Authors: Zhao, Danling, Sun, Jianbin, Tan, Yuejin, Wu, Jianhong, Dou, Yajie
Format: Article
Language:English
Subjects:
A extended SEIR model
Digg network
Homepage effect
Information propagation
Online social network
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Summary:In this work we extend the SEIR model as in epidemic disease modeling to investigate the propagation dynamics of the information online. Here, we go one step further and takes the homepage effect into consideration, acting as the infectious sources in infectious diseases. Aside of the mathematical analysis, the results of simulation also show some managerial insights that are helpful for controlling the information spread. Furthermore, a case study, usingthe information propagation data in Digg.com, is carried out to examine the effectiveness of two propagation models. Our study could be a starting point for developing a more realistic model about the online propagation dynamics of multiple messages. •The SEIR model is extended to illustrate the information’s propagation dynamics.•The homepage effect of online information propagation is taken into account.•The mathematical analysis and simulation show the trends of propagation.•The proposed model is applied to the information propagation data in Digg.com.
ISSN:0378-4371
1873-2119
DOI:10.1016/j.physa.2018.08.006