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Issue No. 09 - September (2013 vol. 46)
ISSN: 0018-9162
pp: 78-84
Jianwei Niu , Beihang University
Jing Peng , Beihang University
Lei Shu , Guangdong University of Petrochemical Technology
Chao Tong , Beihang University
Wanjiun Liao , National Taiwan University
Deeper knowledge of social networks' structure and temporal evolution enhances data mining for both research and education purposes. An empirical analysis of a Chinese social network, Renren, shows that it follows an exponentially truncated power law in degree distribution, and has a short average node distance.
Social network services, Communities, Data mining, Facebook, China, Electronic mail

J. Niu, J. Peng, L. Shu, C. Tong and W. Liao, "An Empirical Study of a Chinese Online Social Network--Renren," in Computer, vol. 46, no. 9, pp. 78-84, 2013.
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