Presentation 2019-01-18
[Invited Talk] Social Network Analysis Based on Random Matrix Theory
Yusuke Sakumoto, Masaki Aida,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Spectral graph theory gives an algebraical approach to analyze the characteristics of a network by using the matrix that represents the network structure. In order to apply the spectral graph theory to the social network analysis, we must represent the social network structure with a matrix. However, it is hard to determine matrix elements exactly representing the actual social network structure. In this paper, we introduce the social network analysis based on random matrix theory. This analysis utilizes the universality that appears when matrix elements are randomly given.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Social Media / SNS / Spectral Graph Theory / Laplacian Matrix / Random Matrix Theory
Paper # CQ2018-87
Date of Issue 2019-01-10 (CQ)

Conference Information
Committee CQ
Conference Date 2019/1/17(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Tokyo Metropolitan Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Video/Voice Services Quality, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, etc.
Chair Takanori Hayashi(Hiroshima Inst. of Tech.)
Vice Chair Hideyuki Shimonishi(NEC) / Jun Okamoto(NTT)
Secretary Hideyuki Shimonishi(NTT) / Jun Okamoto(Nippon Inst. of Tech.)
Assistant Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Ryo Yamamoto(UEC)

Paper Information
Registration To Technical Committee on Communication Quality
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] Social Network Analysis Based on Random Matrix Theory
Sub Title (in English)
Keyword(1) Social Media
Keyword(2) SNS
Keyword(3) Spectral Graph Theory
Keyword(4) Laplacian Matrix
Keyword(5) Random Matrix Theory
1st Author's Name Yusuke Sakumoto
1st Author's Affiliation Tokyo Metropolitan University(Tokyo Metropolitan Univ.)
2nd Author's Name Masaki Aida
2nd Author's Affiliation Tokyo Metropolitan University(Tokyo Metropolitan Univ.)
Date 2019-01-18
Paper # CQ2018-87
Volume (vol) vol.118
Number (no) CQ-395
Page pp.pp.65-70(CQ),
#Pages 6
Date of Issue 2019-01-10 (CQ)