Presentation 2017-12-15
Information Propagation Analysis of Social Network Using the Universality of Random Matrix
Tsukasa Kameyama, Yusuke Sakumoto, Chisa Takano, Masaki Aida,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Spectral graph theory gives an algebraical approach to analyze network structure by using a matrix. However, it is difficult for large-scale social networks to know the details of its network structure including link weights, and we cannot expect that a matrix representing the network structure is given as a priori knowledge. In this paper, we analyze the information propagation characteristics using the universality of random matrices that represents the structure of a large-scale social network. An existing study has been reported that the spectral density distribution of the normalized Laplacian matrix of networks with weightless links follows the Wigner semicircle law under a certain condition. In this paper, we evaluate the spectral density distribution of the normalized Laplacian matrix for randomly weighted links, and investigate conditions for the spectral density distribution to satisfy the Wigner semicircle law, experimentally. In addition, we use the Wigner semicircle law for the social network analysis, and clarify an universal property of information propagation on large-scale social networks.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) social network / normalized Laplacian matrix / random matrix / spectral density distribution / Wigner semicircle law
Paper # IA2017-62
Date of Issue 2017-12-07 (IA)

Conference Information
Committee IA / IN
Conference Date 2017/12/14(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Hiroshima City Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc.
Chair Katsuyoshi Iida(Hokkaido Univ.) / Katsunori Yamaoka(Tokyo Inst. of Tech.)
Vice Chair Rei Atarashi(IIJ) / Hiroyuki Osaki(Kwansei Gakuin Univ.) / Tomoki Yoshihisa(Osaka Univ.) / Takuji Kishida(NTT)
Secretary Rei Atarashi(Tokyo Metropolitan Univ.) / Hiroyuki Osaki(TOYOTA-IT) / Tomoki Yoshihisa(NTT) / Takuji Kishida(NTT)
Assistant Kenji Ohira(Tokushima Univ.) / Ryohei Banno(NTT) / Toshiki Watanabe(NEC)

Paper Information
Registration To Technical Committee on Internet Architecture / Technical Committee on Information Networks
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Information Propagation Analysis of Social Network Using the Universality of Random Matrix
Sub Title (in English)
Keyword(1) social network
Keyword(2) normalized Laplacian matrix
Keyword(3) random matrix
Keyword(4) spectral density distribution
Keyword(5) Wigner semicircle law
1st Author's Name Tsukasa Kameyama
1st Author's Affiliation Tokyo Metropolitan University(Tokyo Metropolitan Univ.)
2nd Author's Name Yusuke Sakumoto
2nd Author's Affiliation Tokyo Metropolitan University(Tokyo Metropolitan Univ.)
3rd Author's Name Chisa Takano
3rd Author's Affiliation Hiroshima City University(Hiroshima City Univ.)
4th Author's Name Masaki Aida
4th Author's Affiliation Tokyo Metropolitan University(Tokyo Metropolitan Univ.)
Date 2017-12-15
Paper # IA2017-62
Volume (vol) vol.117
Number (no) IA-354
Page pp.pp.55-60(IA),
#Pages 6
Date of Issue 2017-12-07 (IA)