TY - GEN
T1 - Assessing scale-free scaling and robustness in an online community network
AU - Zhang, Da Yong
AU - Chen, Cong
AU - Chen, Pu
PY - 2012
Y1 - 2012
N2 - While extensive studies on various networks properties have been carried out, little has been done on large-scale online community networks. An online community network essentially is a group-centered online platform, that is much different from traditional social network. Based on the log data of a university online community, we investigate the statistical characteristics of the evolving network during the different observation period, and find that the degree distribution of the network follows a composite power laws form. In addition, the online community network shows the small world effect, well-interconnected modules, and the hallmark of "scale-free". Further research indicates that the online community network is high robust to random removals, but fail to intentional attacks, especially to attacks based on the betweenness, that shows some nodes with high betweenness play a key role in maintaining the online community network communication capabilities. Our analysis aims to provide a platform for drawing a host of practical implications for information diffusion and promoting valuable communication, as well as for the management and design of online communities.
AB - While extensive studies on various networks properties have been carried out, little has been done on large-scale online community networks. An online community network essentially is a group-centered online platform, that is much different from traditional social network. Based on the log data of a university online community, we investigate the statistical characteristics of the evolving network during the different observation period, and find that the degree distribution of the network follows a composite power laws form. In addition, the online community network shows the small world effect, well-interconnected modules, and the hallmark of "scale-free". Further research indicates that the online community network is high robust to random removals, but fail to intentional attacks, especially to attacks based on the betweenness, that shows some nodes with high betweenness play a key role in maintaining the online community network communication capabilities. Our analysis aims to provide a platform for drawing a host of practical implications for information diffusion and promoting valuable communication, as well as for the management and design of online communities.
KW - betweenness
KW - online community network
KW - robustness
KW - scale-free scaling
UR - https://www.scopus.com/pages/publications/84874394326
U2 - 10.1109/ICMSE.2012.6414162
DO - 10.1109/ICMSE.2012.6414162
M3 - 会议稿件
AN - SCOPUS:84874394326
SN - 9781467330145
T3 - International Conference on Management Science and Engineering - Annual Conference Proceedings
SP - 64
EP - 69
BT - 2012 International Conference on Management Science and Engineering, ICMSE 2012 - 19th Annual Conference Proceedings
T2 - 2012 19th Annual International Conference on Management Science and Engineering, ICMSE 2012
Y2 - 20 September 2012 through 22 September 2012
ER -