Presentation 2017-08-10
Rethinking the Meaning of Eigenvector Centrality Based on the Scaled Laplacian Matrix
Chisa Takano, Masaki Aida,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) When we analyze the dynamics on the social media network, it is important to evaluate the strength of the activity of each node quantitatively, and a node centrality is known as an index which expresses such strength. Various node centralities have been proposed according to different criterion what characterize an important node. For example, there are the degree centrality, the betweenness centrality, the PageRank and the eigenvector centrality. We discussed generally extension of node centralities which can express different node centralities (degree and betweenness centralities) in a common framework using spectral graph theory. This paper focuses on the eigenvector centrality on which the PageRank is based and shows that its index may not turn out natural results which are acceptable intuitively. In addition, we reveal that the eigenvector centrality of an undirected graph corresponds to the PageRank of another directed graph by considering this fact in a framework of spectral graph theory, and elucidate relations between the eigenvector centrality and the PageRank.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) network analysis / eigenvector centrality / Laplacian mat
Paper # CCS2017-12
Date of Issue 2017-08-03 (CCS)

Conference Information
Committee CCS
Conference Date 2017/8/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Bibai Onsen Yu-rinkan
Topics (in Japanese) (See Japanese page)
Topics (in English) Network Science, etc.
Chair Naoki Wakamiya(Osaka Univ.)
Vice Chair Mikio Hasegawa(Tokyo Univ. of Science) / Makoto Naruse(NICT)
Secretary Mikio Hasegawa(Osaka Univ.) / Makoto Naruse(Tokyo City Univ.)
Assistant Chisa Takano(Hirishima City Univ.) / Takashi Shimada(Univ. of Tokyo) / Tomoya Suzuki(Ibaraki Univ.) / Ryo Takahashi(AUT)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Rethinking the Meaning of Eigenvector Centrality Based on the Scaled Laplacian Matrix
Sub Title (in English)
Keyword(1) network analysis
Keyword(2) eigenvector centrality
Keyword(3) Laplacian mat
1st Author's Name Chisa Takano
1st Author's Affiliation Hiroshima City University(Hiroshima City Univ.)
2nd Author's Name Masaki Aida
2nd Author's Affiliation Tokyo Metropolitan University(Tokyo Metropolitan Univ.)
Date 2017-08-10
Paper # CCS2017-12
Volume (vol) vol.117
Number (no) CCS-173
Page pp.pp.13-18(CCS),
#Pages 6
Date of Issue 2017-08-03 (CCS)