2024-03-29T11:27:24Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/426762022-11-17T02:08:08Zhdl_2115_20045hdl_2115_139Statistical properties of weighted complex networks characterized by metaweightsFuruya, ShuheiYakubo, KousukeComplex networkStatistical analysisClustering coefficientDegree correlationCommunity structure421We 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.Elsevier B.V.Journal Articleapplication/pdfhttp://hdl.handle.net/2115/42676https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/42676/1/PhyA389-6_1265-1272.pdf0378-4371Physica A : Statistical Mechanics and its Applications3896126512722010-03-15enginfo:doi/10.1016/j.physa.2009.12.001author