Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Analysis of topological characteristics of huge online social networking services
Proceedings of the 16th international conference on World Wide Web
A consideration of the functions that support to find new friends in social games
OCSC'13 Proceedings of the 5th international conference on Online Communities and Social Computing
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In this paper, we analyze the network structure of two SNSs, Academic Community System (ACS) and Amippy. From the viewpoint of network topology, the major characteristics of these data sets can be summarized as follows: low average shortest-path length, high clustering coefficient, presence of a power law degree distribution and negative assortativity. Based on our analysis, we propose a growth model of SNS networks. We conducted numerical simulations to compare actual data sets with networks generated by the proposed model. Results of simulations indicated that the processes of the CNN model and Fitness model are needed to reproduce the networks of SNSs.