Presentation 2008-09-16
Analysis of the Network of the Regional SNS
Fujio TORIUMI, Ken ISHIDA, Kenichiro ISHII,
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Abstract(in English) In this paper, we analyze the network, structure of a regional SNS. From the viewpoint of network topology, the major characteristics of the 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 set with networks generated by the proposed model. Results of simulations indicated that proposed model can represent actual network with high accuracy.
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Keyword(in English) Regional SNS / Social network service / Network analysis / Complex networks
Paper # AI2008-22
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Conference Information
Committee AI
Conference Date 2008/9/9(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of the Network of the Regional SNS
Sub Title (in English)
Keyword(1) Regional SNS
Keyword(2) Social network service
Keyword(3) Network analysis
Keyword(4) Complex networks
1st Author's Name Fujio TORIUMI
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Ken ISHIDA
2nd Author's Affiliation Graduate School of Information Science, Nagoya University
3rd Author's Name Kenichiro ISHII
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2008-09-16
Paper # AI2008-22
Volume (vol) vol.108
Number (no) 208
Page pp.pp.-
#Pages 6
Date of Issue