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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,data mining, graph mining, social networks, network structure, network evolution, Renren
Jianwei Niu, Jing Peng, Lei Shu, Chao Tong, Wanjiun Liao, "An Empirical Study of a Chinese Online Social Network--Renren", Computer, vol. 46, no. , pp. 78-84, September 2013, doi:10.1109/MC.2013.1
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