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          <dc:title>Finding Cliques in Social Networks: A New Distribution-Free Model</dc:title>
          <dc:creator>Fox, Jacob</dc:creator>
          <dc:creator>Roughgarden, Tim</dc:creator>
          <dc:creator>Seshadhri, C.</dc:creator>
          <dc:creator>Wei, Fan</dc:creator>
          <dc:creator>Wein, Nicole</dc:creator>
          <dc:subject>Graph algorithms</dc:subject>
          <dc:subject>social networks</dc:subject>
          <dc:subject>fixed-parameter tractability</dc:subject>
          <dc:description>We propose a new distribution-free model of social networks. Our definitions are motivated by one of the most universal signatures of social networks, triadic closure - the property that pairs of vertices with common neighbors tend to be adjacent. Our most basic definition is that of a c-closed graph, where for every pair of vertices u,v with at least c common neighbors, u and v are adjacent. We study the classic problem of enumerating all maximal cliques, an important task in social network analysis. We prove that this problem is fixed-parameter tractable with respect to c on c-closed graphs. Our results carry over to weakly c-closed graphs, which only require a vertex deletion ordering that avoids pairs of non-adjacent vertices with c common neighbors. Numerical experiments show that well-studied social networks tend to be weakly c-closed for modest values of c.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Jacob Fox and Tim Roughgarden and C. Seshadhri and Fan Wei and Nicole Wein</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 107, 45th International Colloquium on Automata, Languages, and Programming (ICALP 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2018.55</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-90596</dc:identifier>
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          <dc:language>eng</dc:language>
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