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2013 Information Propagation in Online Social Network Based on Human Dynamics
Qiang Yan, Lianren Wu, Chao Liu, Xiye Li
Abstr. Appl. Anal. 2013(SI40): 1-6 (2013). DOI: 10.1155/2013/953406

Abstract

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.

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Qiang Yan. Lianren Wu. Chao Liu. Xiye Li. "Information Propagation in Online Social Network Based on Human Dynamics." Abstr. Appl. Anal. 2013 (SI40) 1 - 6, 2013. https://doi.org/10.1155/2013/953406

Information

Published: 2013
First available in Project Euclid: 26 February 2014

zbMATH: 1272.91111
MathSciNet: MR3055938
Digital Object Identifier: 10.1155/2013/953406

Rights: Copyright © 2013 Hindawi

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Vol.2013 • No. SI40 • 2013
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