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Defining and evaluating network communities based on ground-truth
2013
Knowledge and Information Systems
Nodes in real-world networks organize into densely linked communities where edges appear with high concentration among the members of the community. Identifying such communities of nodes 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. In this paper we study a set of 230 large real-world social, collaboration and information networks where nodes
doi:10.1007/s10115-013-0693-z
fatcat:c3y3mrlnhfdjjeo2qsckif6glq