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A New Class of the Planar Networks with High Clustering and High Entropy
Small-world networks are ubiquitous in real-life systems, such as the World Wide Web, communication networks, and electric power grids, and most of them are stochastic. In this paper, we present a model that generates a small-world network in a simple deterministic way and analyze the relevant topol...
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Published in: | Abstract and Applied Analysis 2013-01, Vol.2013 (2013), p.780-784-1079 |
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container_end_page | 784-1079 |
container_issue | 2013 |
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container_title | Abstract and Applied Analysis |
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creator | Hu, Guona Xiao, Yuzhi Jia, Huanshen Zhao, Haixing |
description | Small-world networks are ubiquitous in real-life systems, such as the World Wide Web, communication networks, and electric power grids, and most of them are stochastic. In this paper, we present a model that generates a small-world network in a simple deterministic way and analyze the relevant topological properties of the model, such as the degree distribution, clustering coefficient, and diameter. Meanwhile, according to the special structure of the model, we derive analytically the exact numbers of spanning trees in the planar networks. The results show that the model has a discrete exponential degree distribution, high clustering coefficient, short diameter, and high entropy. |
doi_str_mv | 10.1155/2013/795682 |
format | article |
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In this paper, we present a model that generates a small-world network in a simple deterministic way and analyze the relevant topological properties of the model, such as the degree distribution, clustering coefficient, and diameter. Meanwhile, according to the special structure of the model, we derive analytically the exact numbers of spanning trees in the planar networks. The results show that the model has a discrete exponential degree distribution, high clustering coefficient, short diameter, and high entropy.</description><identifier>ISSN: 1085-3375</identifier><identifier>EISSN: 1687-0409</identifier><identifier>DOI: 10.1155/2013/795682</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Limiteds</publisher><subject>Algorithms ; Clustering (Computers) ; Computer science ; Entropy (Information theory) ; Fractals ; Mathematical research</subject><ispartof>Abstract and Applied Analysis, 2013-01, Vol.2013 (2013), p.780-784-1079</ispartof><rights>Copyright © 2013 Guona Hu et al.</rights><rights>COPYRIGHT 2013 John Wiley & Sons, Inc.</rights><rights>Copyright © 2013 Guona Hu et al. Guona Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright 2013 Hindawi Publishing Corporation</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a591t-ece2b2008001c365a5134a8b09a1874d2f5470041145caae3883f4ed9f3df33</citedby><cites>FETCH-LOGICAL-a591t-ece2b2008001c365a5134a8b09a1874d2f5470041145caae3883f4ed9f3df33</cites><orcidid>0000-0003-0324-533X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1471232793/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1471232793?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,25731,27901,27902,36989,44566,74869</link.rule.ids></links><search><contributor>Cao, Jinde</contributor><creatorcontrib>Hu, Guona</creatorcontrib><creatorcontrib>Xiao, Yuzhi</creatorcontrib><creatorcontrib>Jia, Huanshen</creatorcontrib><creatorcontrib>Zhao, Haixing</creatorcontrib><title>A New Class of the Planar Networks with High Clustering and High Entropy</title><title>Abstract and Applied Analysis</title><description>Small-world networks are ubiquitous in real-life systems, such as the World Wide Web, communication networks, and electric power grids, and most of them are stochastic. 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subjects | Algorithms Clustering (Computers) Computer science Entropy (Information theory) Fractals Mathematical research |
title | A New Class of the Planar Networks with High Clustering and High Entropy |
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