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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/9178

タイトル: Scale Free Interval Graphs
著者: Miyoshi, Naoto
Shigezumi, Takeya
Uehara, Ryuhei
Watanabe, Osamu
キーワード: scale free graph
small world network
interval graphs
発行日: 2009-08-22
出版者: Elsevier
誌名: Theoretical Computer Science
巻: 410
号: 45
開始ページ: 4533
終了ページ: 4600
DOI: 10.1016/j.tcs.2009.08.012
抄録: Scale free graphs have attracted attention by their non-uniform structure that can be used as a model for various social and physical networks. In this paper, we propose a natural and simple random model for generating scale free interval graphs. The model generates a set of intervals randomly under a certain distribution, which defines a random interval graph. The main advantage of the model is its simpleness. The structure/properties of generated graphs are analyzable by relatively simple probabilistic and/or combinatorial arguments, which is different from many other models. Based on such arguments, we show for our random interval graph that its degree distribution follows a power law, and that it has a large average clustering coefficient.
Rights: NOTICE: This is the author’s version of a work accepted for publication by Elsevier. Changes resulting from the publishing process, including peer review, editing, corrections, structural formatting and other quality control mechanisms, may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Naoto Miyoshi, Takeya Shigezumi, Ryuhei Uehara, and Osamu Watanabe, Theoretical Computer Science, 410(45), 2009, 4533-4600, http://dx.doi.org/10.1016/j.tcs.2009.08.012
URI: http://hdl.handle.net/10119/9178
資料タイプ: author
出現コレクション:b10-1. 雑誌掲載論文 (Journal Articles)

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