Complex Networks by Non-growing Model with Preferential Rewiring Process(Cross-disciplinary Physics and Related Areas of Science and Technology)
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概要
- 論文の詳細を見る
We propose a model for generating a scale-free-like network by means of only a preferential rewiring process with fitness parameter chosen from fitness distribution. By using the proposed rewiring process without growing, the network reaches a stationary state from an initial network with fixed numbers of nodes and edges. It turns out that the obtained network has a lot of isolated nodes and a giant cluster which has a scale-free-like property. We found that the obtained networks by choosing a suitable fitness distribution show some properties related to real metabolic networks.
- 社団法人日本物理学会の論文
- 2005-04-15
著者
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堀口 剛
東北大学大学院情報科学研究科情報基礎科学専攻
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HORIGUCHI Tsuyoshi
Department of Computer and Mathematical Sciences, Graduate School of Information Sciences, Tohoku Un
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OHKUBO Jun
Department of Computer and Mathematical Sciences, Graduate School of Information Sciences, Tohoku Un
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Ohkubo Jun
Department Of Computer And Mathematical Sciences Graduate School Of Information Sciences Tohoku Univ
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Horiguchi Tsuyoshi
Faculty Of Agriculture Kagoshima University
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Horiguchi Tsuyoshi
Department Of Computer And Mathematical Sciences Graduate School Of Information Sciences Tohoku Univ
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Horiguchi Tsuyoshi
Department Of Applied Science Faculty Of Engineering Tohoku University
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