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Evolving networks / Scale-free network / Degree distribution / Average path length / Clustering coefficient / Social network / Network science / Barabási–Albert model / Graph theory / Network theory / Networks


work’s links were simply determined by a completely random process. • The degree distribution of networks tends to exhibit “fat tails” and often approximate a “scalefree” or “power-law” distribution. Thus
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Document Date: 2004-05-26 01:42:25

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Geneva / Pasadena / London / L.A. / /

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Scale-Free Evolving Networks / Characterizing Selfishly Constructed Overlay Routing Networks / Computer Networks / asi-Albert Networks / Economic Networks / CoaliUniversity Press / Cambridge University Press / /

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United States / /

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King’s College / California Institute of Technology / Lee Center / bridge U / University of London / Mathematical Institute / /

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coauthor network / by-product / search method / web containing / search linking / search process / given web page / search model / regular network / large networks / diverse applications / social networks / explicit search process / coauthorship networks / random network / search part / intra-firm management / trade networks / analytic solution / search-based model / /

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California Institute of Technology / Cambridge University / National Science Foundation / Division of the Humanities and Social Sciences / University of London / Lee Center for Advanced Networking / /

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Brian W. Rogers / Matthew O. Jackson / /

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King / model of network growth / basic model / co-author / General / /

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California / /

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Journal of the ACM / Physica A / Biometrika / Journal of Economic Theory / /

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P2P / file sharing / http / simulation / html / pdf / /

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