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Matches in SemOpenAlex for { <https://semopenalex.org/work/W1997803906> ?p ?o ?g. }

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• W1997803906 abstract "Humans are well known to belong to many associative groups simultaneously, with various levels of affiliation. However, most group detection algorithms for social networks impose a strict partitioning on nodes, forcing entities to belong to a single group. Link analysis research has produced several methods which detect multiple memberships but force equal membership. This paper extends these approaches by introducing the FOG framework, a stochastic model and group detection algorithm for fuzzy, overlapping groups. We apply our algorithm to both link data and network data, where we use a random walk approach to generate rich links from networks. The results demonstrate that not only can fuzzy groups be located, but also that the strength of membership in a group and the fraction of individuals with exclusive membership are highly informative of emerging group dynamics." @default.
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• W1997803906 date "2008-07-01" @default.
• W1997803906 modified "2023-10-16" @default.
• W1997803906 title "Clearing the FOG: Fuzzy, overlapping groups for social networks" @default.
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• W1997803906 doi "https://doi.org/10.1016/j.socnet.2008.03.001" @default.
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