Finding Cliques in Social Networks: A New Distribution-Free Model
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Publication:5112249
DOI10.1137/18M1210459zbMATH Open1443.68128arXiv1804.07431OpenAlexW3019028961MaRDI QIDQ5112249
Author name not available (Why is that?)
Publication date: 28 May 2020
Published in: (Search for Journal in Brave)
Abstract: 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 "-closed" graph, where for every pair of vertices with at least common neighbors, and 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 on -closed graphs. Our results carry over to "weakly -closed graphs", which only require a vertex deletion ordering that avoids pairs of non-adjacent vertices with common neighbors. Numerical experiments show that well-studied social networks tend to be weakly -closed for modest values of .
Full work available at URL: https://arxiv.org/abs/1804.07431
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