<rdf:RDF xmlns:burst="http://xmlns.com/burst/0.1/" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="http://www.bibsonomy.org/burst/user/mk1298"><title>BibSonomy publications for /user/mk1298</title><link>http://www.bibsonomy.org/burst/user/mk1298</link><description>BibSonomy BuRST Feed for /user/mk1298</description><dc:date>2008-10-12T19:28:03+02:00</dc:date><items><rdf:Seq><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/240acf2a42bbbee975c602a21780ceef1/mk1298"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2d6d54457effb39c827748081d1fb35c6/mk1298"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2d649e79610961aad3d041c3eacf850d9/mk1298"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/285d0d7b7b6aed2869ff796f566f9f6c4/mk1298"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/267e2e95151061e23dfc0ccc29b847e07/mk1298"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/24482eae91ff0986d13bf63576be8426b/mk1298"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/20c877633baf2bad19286fd7b4d6c2f87/mk1298"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2a21ddb68b5d0b928d97ac110ea6fd76f/mk1298"/></rdf:Seq></items></channel><item rdf:about="http://www.bibsonomy.org/bibtex/240acf2a42bbbee975c602a21780ceef1/mk1298"><title>Email as spectroscopy: automated discovery of community structure within organizations</title><link>http://www.bibsonomy.org/bibtex/240acf2a42bbbee975c602a21780ceef1/mk1298</link><dc:creator>mk1298</dc:creator><dc:date>2008-02-03T13:43:16+01:00</dc:date><dc:subject>Packard Hewlett email social network </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Joshua R. &lt;a href=&#034;http://www.bibsonomy.org/author/Tyler&#034;&gt;Tyler&lt;/a&gt;  und Dennis M. &lt;a href=&#034;http://www.bibsonomy.org/author/Wilkinson&#034;&gt;Wilkinson&lt;/a&gt;  und Bernardo A. &lt;a href=&#034;http://www.bibsonomy.org/author/Huberman&#034;&gt;Huberman&lt;/a&gt;  &lt;/span&gt;(&lt;em&gt;2003&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/Packard"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/Hewlett"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/email"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/social"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/network"/></rdf:Bag></taxo:topics><burst:publication><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/240acf2a42bbbee975c602a21780ceef1/mk1298"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/240acf2a42bbbee975c602a21780ceef1/mk1298"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://portal.acm.org/citation.cfm?id=966268"/><swrc:date>Sun Feb 03 13:43:16 CET 2008</swrc:date><swrc:address>Deventer, The Netherlands, The Netherlands</swrc:address><swrc:pages>81--96</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Kluwer, B.V."/></swrc:publisher><swrc:title>Email as spectroscopy: automated discovery of community structure within organizations</swrc:title><swrc:year>2003</swrc:year><swrc:keywords>Packard Hewlett email social network </swrc:keywords><swrc:abstract>We describe a method for the automatic identification of communities of practice from email logs within an organization. We use a betweenness centrality algorithm that can rapidly find communities within a graph representing information flows. We apply this algorithm to an email corpus of nearly one million messages collected over a two-month span, and show that the method is effective at identifying true communities, both formal and informal, within these scale-free graphs. This approach also enables the identification of leadership roles within the communities. These studies are complemented by a qualitative evaluation of the results in the field.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1-4020-1611-5" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="Communities and technologies" swrc:key="book"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Joshua R. Tyler"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Dennis M. Wilkinson"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Bernardo A. 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