Information Propagation in Online Social Network Based on Human Dynamics
Joint Authors
Liu, Chao
Yan, Qiang
Wu, Lianren
Li, Xiye
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
We investigate the impact of human dynamics on the information propagation in online social networks.
First, statistical properties of the human behavior are studied using the data from “Sina Microblog,” which is one of the most popular online social networks in China.
We find that human activity patterns are heterogeneous and bursty and are often described by a power-law interevent time distribution P(τ)~τ−α.
Second, we proposed an extended Susceptible-Infected (SI) propagation model to incorporate bursty and limited attention.
We unveil how bursty human behavior and limited attention affect the information propagation in online social networks.
The result in this paper can be useful for optimizing or controlling information propagation in online social networks.
American Psychological Association (APA)
Yan, Qiang& Wu, Lianren& Liu, Chao& Li, Xiye. 2013. Information Propagation in Online Social Network Based on Human Dynamics. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-511048
Modern Language Association (MLA)
Yan, Qiang…[et al.]. Information Propagation in Online Social Network Based on Human Dynamics. Abstract and Applied Analysis No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-511048
American Medical Association (AMA)
Yan, Qiang& Wu, Lianren& Liu, Chao& Li, Xiye. Information Propagation in Online Social Network Based on Human Dynamics. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-511048
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511048