A link analysis model based on online social networks

Authors:
Bu Zhan;ZhengYou Xia
Affiliations:
Department of Computer, Nanjing University of Aeronautics and Astronautic, Nanjing, China;Department of Computer, Nanjing University of Aeronautics and Astronautic, Nanjing, China
Venue:
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
Year:
2011

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Abstract

As information technology has advanced, people are turning to electronic media more frequently for communication, and social relationships are increasingly found on online channels. Traditional on-line social network researches are based a certain comment interaction. Though some interest conclusions have been obtained, the understanding of the entire on-line social network is one-sided. In this paper, we compare four different types of networks proposed by previous researchers. Statistical analysis reveals that those four networks are consistent in nature (both the "small-world effect" and skewed degree distributions are found in them). To discover the mechanism behind these network observations, we propose a single-factor model with a single parameter κ; using this model, various networks can be obtained when we change the parameter κ in a given range. Simulation experiment based on this model show that the simulation results and the real data are consistent, which means that our model is valid.