Publication | Closed Access
Defining and evaluating network communities based on ground-truth
727
Citations
40
References
2012
Year
Unknown Venue
Cluster ComputingHigh ConcentrationEngineeringCommunity MiningNetwork AnalysisCommunicationCommunity DiscoveryComputational Social ScienceNetwork EvolutionData ScienceNetwork CommunitiesReliable Gold-standard Ground-truthCommunity DetectionSocial Network AnalysisCommunity NetworkComputer ScienceReal-world NetworksCommunity StructureNetwork ScienceGraph TheorySocial ComputingBusiness
Nodes in real-world networks, such as social, information or technological networks, organize into communities where edges appear with high concentration among the members of the community. Identifying communities in networks has proven to be a challenging task mainly due to a plethora of definitions of a community, intractability of algorithms, issues with evaluation and the lack of a reliable gold-standard ground-truth.
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