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Transcription:

SNS No Man is an Island How Relations are built within a SNS world 2005911 Yuki Yasuda Yutaka Matsuo GBRC

The Japanese Largest Social Networking Service mixi Run by e-mercury Co.Ltd Information Exchange Relationship building Function User Network Aggregation of dyadic authentification Community Network Members Coparticipation chains communities

Mixi mixi Zipf 2004 - (Barton196) vs

Barton s sigh Using random sampling of individuals, the survey is a sociological meatgrinder, tearing the individual from his social context and guaranteeing that nobody in the study interacts with anyone else in it. It is a little like a biologist putting his experimental animals through a hamburger machine and looking at every hundredth cell through a microscope; anatomy and physiology get lost, structure and function disappear, and one is left with cell biology. If our aim is to understand people s behavior rather than simply to record it, we want to know about primary groups, neighborhoods, organizations, social circles, and communities; about interaction, communication, role expectations and social control. quote from Freeman (2004 p.1)

Strength of Network Analysis Structural Intuition Visualization Empirical Data Mathematical/Computational Analysis With network analysis, how should we treat mixi network? What are the meaningful & important properties to look after?

Questions mixi mixi

Descriptive Statistics Data as of March 2005 # users 363,819 (Now over 1 million) # ties 381,3702 # friends (average) 20.95 # communities 90,795 # community members 241,423 # community members (total) 602,8964 # members per community (average) 66.40 # communities members participate 24.97 # members (the largest community) 10238 # 1-member communities 5395

Friends Network Follows the Power Low 1 friend 85851(23.6%) Less than 3 35.7% Less than 4 43.4% Max 1301 Friends Only three members have more than 1000 friends. =2.427

Network of Hubs of Friends Network 99 users (0.72%) have over 300 friends. Weighted Overall Graph Clustering Coefficient=0.382 Characteristic Path Length=2.75

Clustering within Hubs Networks 3 bridges connect 2 cliques. # users with 200+ friends 367 (0.01%) WOGCC=0.194, L=2.88 # users with 100+ friends 2635 (0.07%) mixi

200

コミュニティIDとユーザIDの関係 ユーザID平均 1000000 1200000 ユーザID 最小3つの平均 900000 1000000 800000 700000 800000 600000 ユーザID最小の3つ平均 500000 600000 ユーザID平均 400000 300000 400000 200000 200000 100000 0 0 20000 40000 60000 コミュニティID 80000 100000 120000 0 0 20000 40000 60000 80000 100000 120000

Community Top10

Top11-20

Jaccard(A,B)=NA B)AUB)

200Jaccard0.2 Mac

200Jaccard0.2 Web

MacMax OS XPowerBook&iBook

Community Blockmodel Addiction ABB Appreciation Artists Jokes Hobby GLEE JAZZ TV MacipodOSX Mac User, ipod user, MacOSX user IllustratorWeb Design Web Design, Design News &

Density Table 1 2 3 4 5 6 7 8 ----- ----- ----- ----- ----- ---- ------ ----- 1 0.080 0.084 0.058 0.067 0.075 0.049 0.057 0.076 2 0.084 0.112 0.069 0.088 0.067 0.053 0.047 0.068 3 0.058 0.069 0.083 0.069 0.054 0.074 0.043 0.067 4 0.067 0.088 0.069 0.179 0.058 0.048 0.042 0.059 5 0.075 0.067 0.054 0.058 0.075 0.053 0.069 0.090 6 0.049 0.053 0.074 0.048 0.053 0.078 0.047 0.065 7 0.057 0.047 0.043 0.042 0.069 0.047 0.241 0.120 8 0.076 0.068 0.067 0.059 0.090 0.065 0.120 0.247

degree rank

Scale free structure emerged out of strong-tie network, not weak-tie network. Scale-free structure Discovery or Creation?

e-mercury With Special Thanks to President Kenji, Kasahara and members of e-mercury Co.Ltd.

Reference A. Barton (1968)Bringing Society back in: Survey research and macro-methodology American Behavioral Scientist 12:1-9 F. Linton (2004) The Development of Social Network Analysis Empirical Press. S.P. Borgatti, M.G. Everett, and L.C. Freeman, 2002. Ucinet for Windows: Software for social network analysis (version 6.27). Harvard, Mass.: Analytic Technologies, S. Wasserman and K. Faust, 1994. Social network analysis: Methods and applications. Cambridge: Cambridge University Press. D.J. Watts and S.H. Strogatz, 1998. "Collective dynamics of "small world" networks," Nature, volume 393, pp. 440 442. (2005

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