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<pubDate>Thu, 21 Aug 2008 06:49:01 BST</pubDate>


	<title>CiteULike: pdlug's complexity</title>
	<description>CiteULike: pdlug's complexity</description>


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    <title>Structure of growing social networks</title>
    <link>http://www.citeulike.org/user/pdlug/article/929791</link>
    <description>&lt;i&gt;Physical Review E, Vol. 64, No. 4. (2001), 046132.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We propose some simple models of the growth of social networks; based on three general principles: (1) meetings take place between pairs of individuals at a rate that is high if a pair has one or more mutual friends and low otherwise; (2) acquaintances between pairs of individuals who rarely meet decay over time; (3) there is an upper limit on the number of friendships an individual can maintain. Using computer simulations; we find that models that incorporate all of these features reproduce many of the features of real social networks; including high levels of clustering or network transitivity and strong community structure in which individuals have more links to others within their community than to individuals from other communities.</description>
    <dc:title>Structure of growing social networks</dc:title>

    <dc:creator>Emily Jin</dc:creator>
    <dc:creator>Michelle Girvan</dc:creator>
    <dc:creator>MEJ Newman</dc:creator>
    <dc:identifier>doi:10.1103/PhysRevE.64.046132</dc:identifier>
    <dc:source>Physical Review E, Vol. 64, No. 4. (2001), 046132.</dc:source>
    <dc:date>2006-11-05T20:37:44-00:00</dc:date>
    <prism:publicationYear>2001</prism:publicationYear>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>64</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>046132</prism:startingPage>
    <prism:publisher>American Physical Society</prism:publisher>
    <prism:category>complexity</prism:category>
    <prism:category>network</prism:category>
    <prism:category>social</prism:category>
    <prism:category>socialnetwork</prism:category>
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