Paper Info
Title
Behavior statistics and social network analysis of online Go game players.
Abstract
The statistics and principle of human behavior are of great importance in interpreting the origin and formation of human behavior in many scopes including economics, sociology, biology and engineering systems. As a basic step toward the understanding of Go Players' behavior, we investigate several statistical properties, including the distribution of total game number in different time scale, the match intensity in one day and the lifetime distribution of typical online users, based on large amount of Go game data from amateur online Go platform. In addition, the social network analysis verifies that the degree distribution of such network users also follows power-law principle although its slope is much smaller than reported network data set. Our findings and analysis reveals some fundamental features for online game players, which should be vital for understanding the human dynamics in other fields.
Year
DOI
Venue
2011
10.1109/CSC.2011.6138556
CDC
Keywords
DocType
Citations 
behavior statistic,social network analysis verifies,human dynamic,amateur online,game data,reported network data,network user,lifetime distribution,human behavior,degree distribution,online game player,games,base stations,internet,social network analysis,statistical analysis,power law,base station
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Sihai Zhang16319.50
Zhiwei Song251.51
Zhi Liang3362.51