Presentation 2009-03-11
Network analysis based on statistical-thermodynamics formalism
Syuji MIYAZAKI, Taro TAKAGUCHI, Kei EJIMA, Mika IZUO,
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Abstract(in English) A real social networking service consisting of 2271 nodes is analyzed on the basis of the statistical-thermodynamics formalism to find phase transitions in network structure. Each phase can be related to a characteristic local structure of the network such as a cluster or a hub. For this purpose, the generalized transition matrix or the generalized Frobenius-Perron operator is introduced, whose largest eigenvalue yields statistical structure functions. The weighted probability related to the Gibbs probability measure, which turn out to be useful to extract characteristic local structures, is obtained from the right and left eigenvectors corresponding to the largest eigenvalue. Graph drawing algorithms based on this weighted probability are also suggested.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) large deviation statistics / statistical-thermodynamics formalism / Frobenius-Perron operator / transition matrix / Gibbs probability measure / social networking service / graph theory / chaotic dynamical system
Paper # NLP2008-165
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Committee NLP
Conference Date 2009/3/3(1days)
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Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Network analysis based on statistical-thermodynamics formalism
Sub Title (in English)
Keyword(1) large deviation statistics
Keyword(2) statistical-thermodynamics formalism
Keyword(3) Frobenius-Perron operator
Keyword(4) transition matrix
Keyword(5) Gibbs probability measure
Keyword(6) social networking service
Keyword(7) graph theory
Keyword(8) chaotic dynamical system
1st Author's Name Syuji MIYAZAKI
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Taro TAKAGUCHI
2nd Author's Affiliation Graduate School of Informatics, Kyoto University
3rd Author's Name Kei EJIMA
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
4th Author's Name Mika IZUO
4th Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2009-03-11
Paper # NLP2008-165
Volume (vol) vol.108
Number (no) 477
Page pp.pp.-
#Pages 6
Date of Issue