An Empirical Study of A Chinese Online Social Network -- Renren
Journal
Computer
Journal Volume
46
Journal Issue
9
Pages
78-84
Date Issued
2013-09
Author(s)
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. © 1970-2012 IEEE.
Subjects
data mining; graph mining; network evolution; network structure; Renren; social networks
SDGs
Other Subjects
Empirical analysis; Empirical studies; Graph mining; In-degree distribution; Network evolution; Network structures; Renren; Temporal evolution; Data mining; Social networking (online)
Type
journal article