Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/1200
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dc.contributor.authorMathias, Nisha-
dc.contributor.authorGopal, Venkatesh-
dc.date.accessioned2006-05-12T05:39:13Z-
dc.date.available2006-05-12T05:39:13Z-
dc.date.issued2001-02-
dc.identifier.citationPhysical Review E, 2001, Vol.63, 021117en
dc.identifier.issn1539-3755-
dc.identifier.issn1550-2376 (online)-
dc.identifier.urihttp://hdl.handle.net/2289/1200-
dc.description.abstractWe investigate small-world networks from the point of view of their origin. While the characteristics of small-world networks are now fairly well understood, there is as yet no work on what drives the emergence of such a network architecture. In situations such as neural or transportation networks, where a physical distance between the nodes of the network exists, we study whether the small-world topology arises as a consequence of a tradeoff between maximal connectivity and minimal wiring. Using simulated annealing, we study the properties of a randomly rewired network as the relative tradeoff between wiring and connectivity is varied. When the network seeks to minimize wiring, a regular graph results. At the other extreme, when connectivity is maximized, a “random” network is obtained. In the intermediate regime, a small-world network is formed. However, unlike the model of Watts and Strogatz [Nature 393, 440 (1998)], we find an alternate route to small-world behavior through the formation of hubs, small clusters where one vertex is connected to a large number of neighbors.en
dc.format.extent244326 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherThe American Physical Societyen
dc.relation.urihttp://prola.aps.org/abstract/PRE/v63/i2/e021117en
dc.rights(2001) by the American Physical Societyen
dc.titleSmall worlds: How and whyen
dc.typeArticleen
Appears in Collections:Research Papers (LAMP)

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