Abstract and Applied Analysis

Analyzing, Modeling, and Simulation for Human Dynamics in Social Network

Yunpeng Xiao, Bai Wang, Yanbing Liu, Zhixian Yan, Xian Chen, Bin Wu, Guangxia Xu, and Yuanni Liu

Full-text: Open access

Abstract

This paper studies the human behavior in the top-one social network system in China (Sina Microblog system). By analyzing real-life data at a large scale, we find that the message releasing interval (intermessage time) obeys power law distribution both at individual level and at group level. Statistical analysis also reveals that human behavior in social network is mainly driven by four basic elements: social pressure, social identity, social participation, and social relation between individuals. Empirical results present the four elements' impact on the human behavior and the relation between these elements. To further understand the mechanism of such dynamic phenomena, a hybrid human dynamic model which combines “interest” of individual and “interaction” among people is introduced, incorporating the four elements simultaneously. To provide a solid evaluation, we simulate both two-agent and multiagent interactions with real-life social network topology. We achieve the consistent results between empirical studies and the simulations. The model can provide a good understanding of human dynamics in social network.

Article information

Source
Abstr. Appl. Anal., Volume 2012, Special Issue (2012), Article ID 208791, 16 pages.

Dates
First available in Project Euclid: 7 May 2014

Permanent link to this document
https://projecteuclid.org/euclid.aaa/1399486671

Digital Object Identifier
doi:10.1155/2012/208791

Mathematical Reviews number (MathSciNet)
MR3004931

Citation

Xiao, Yunpeng; Wang, Bai; Liu, Yanbing; Yan, Zhixian; Chen, Xian; Wu, Bin; Xu, Guangxia; Liu, Yuanni. Analyzing, Modeling, and Simulation for Human Dynamics in Social Network. Abstr. Appl. Anal. 2012, Special Issue (2012), Article ID 208791, 16 pages. doi:10.1155/2012/208791. https://projecteuclid.org/euclid.aaa/1399486671


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