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Defining and Evaluating Network Communities Based on Ground-Truth
2012
2012 IEEE 12th International Conference on Data Mining
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:10.1109/icdm.2012.138
dblp:conf/icdm/YangL12
fatcat:drtewcp5rrg5hm6xukvr4rddrm