Title :
An Empirical Study of a Chinese Online Social Network--Renren
Author :
Jianwei Niu ; Jing Peng ; Lei Shu ; Chao Tong ; Wanjiun Liao
Author_Institution :
Beihang Univ., Beijing, China
Abstract :
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.
Keywords :
data mining; social networking (online); Chinese online social network; Renren; data mining; degree distribution; education purposes; empirical analysis; exponentially truncated power law; research purposes; short average node distance; social network structure; temporal evolution; China; Communities; Data mining; Electronic mail; Facebook; Social network services; Renren; data mining; graph mining; network evolution; network structure; social networks;
