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Given the increasing popularity of algorithms for overlapping clustering, in particular in social network analysis, quantitative measures are needed to measure the accuracy of a method.
Omega: A general formulation of the rand index of cluster recovery suitable for non-disjoint solutions
L.M. Collins and C.W. Dent · 1988
Earlier work this paper cites.
Comparing clusterings—an information based distance
M. Meila · 2006
Cited alongside, same era.
Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance
Nguyen X. Vinh, Julien Epps, and James Bailey
Cited in the paper.
Detecting the overlapping and hierarchical community structure in complex networks
Andrea Lancichinetti, Santo Fortunato, and Janos Kertesz · 2009
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