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Statistical properties of weighted complex networks characterized by metaweights

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Title: Statistical properties of weighted complex networks characterized by metaweights
Authors: Furuya, Shuhei Browse this author
Yakubo, Kousuke Browse this author
Keywords: Complex network
Statistical analysis
Clustering coefficient
Degree correlation
Community structure
Issue Date: 15-Mar-2010
Publisher: Elsevier B.V.
Journal Title: Physica A : Statistical Mechanics and its Applications
Volume: 389
Issue: 6
Start Page: 1265
End Page: 1272
Publisher DOI: 10.1016/j.physa.2009.12.001
Abstract: We propose several characterizations of weighted complex networks by incorporating the concept of metaweight into the clustering coefficient, degree correlation, and module decomposition. These incorporations make it possible to describe weighted networks depending on how strongly we emphasize weights. Using some applications to real-world weighted networks, we demonstrate that the proposed approach provides rich information that was inaccessible by previous analyses such as the degree correlation for a specific magnitude of weights or the community structure under controlling the importance of roles of the topology and weights.
Type: article (author version)
Appears in Collections:工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 矢久保 考介

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