A last updating evolution model for online social networks

Zhan Bu, Zhengyou Xia, Jiandong Wang and Chengcui Zhang

Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 9, 2240-2247

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. However, there is very limited knowledge about the actual evolution of the online social networks. In this paper, we propose and study a novel evolution network model with the new concept of “last updating time”, which exists in many real-life online social networks. The last updating evolution network model can maintain the robustness of scale-free networks and can improve the network reliance against intentional attacks. What is more, we also found that it has the “small-world effect”, which is the inherent property of most social networks. Simulation experiment based on this model show that the results and the real-life data are consistent, which means that our model is valid.

Keywords: Online social network; Evolution model; Last updating time; Scale-free; Small-world effect (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:392:y:2013:i:9:p:2240-2247

DOI: 10.1016/j.physa.2013.01.006

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