Issue No. 09 - September (2013 vol. 46)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2013.1
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.