This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
An Empirical Study of a Chinese Online Social Network--Renren
September 2013 (vol. 46 no. 9)
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.
Index Terms:
Social network services,Communities,Data mining,Facebook,China,Electronic mail,data mining,graph mining,social networks,network structure,network evolution,Renren
Citation:
Jianwei Niu, Jing Peng, Lei Shu, Chao Tong, Wanjiun Liao, "An Empirical Study of a Chinese Online Social Network--Renren," Computer, vol. 46, no. 9, pp. 78-84, Sept. 2013, doi:10.1109/MC.2013.1
Usage of this product signifies your acceptance of the Terms of Use.