Community detection in networks: Structural communities versus ground truth

@article{Hric2014CommunityDI,
  title={Community detection in networks: Structural communities versus ground truth},
  author={Darko Hric and R. K. Darst and S. Fortunato},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2014},
  volume={90 6},
  pages={
          062805
        }
}
Algorithms to find communities in networks rely just on structural information and search for cohesive subsets of nodes. On the other hand, most scholars implicitly or explicitly assume that structural communities represent groups of nodes with similar (nontopological) properties or functions. This hypothesis could not be verified, so far, because of the lack of network datasets with information on the classification of the nodes. We show that traditional community detection methods fail to… Expand

Paper Mentions

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The ground truth about metadata and community detection in networks
Improving Node Similarity for Discovering Community Structure in Complex Networks
Community detection in networks: A user guide
Structure and inference in annotated networks
Ego-zones: non-symmetric dependencies reveal network groups with large and dense overlaps
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