Eva: Attribute-Aware Network Segmentation

@inproceedings{Citraro2019EvaAN,
  title={Eva: Attribute-Aware Network Segmentation},
  author={Salvatore Citraro and Giulio Rossetti},
  booktitle={COMPLEX NETWORKS},
  year={2019}
}
Identifying topologically well-defined communities that are also homogeneous w.r.t. attributes carried by the nodes that compose them is a challenging social network analysis task. We address such a problem by introducing Eva, a bottom-up low complexity algorithm designed to identify network hidden mesoscale topologies by optimizing structural and attribute-homophilic clustering criteria. We evaluate the proposed approach on heterogeneous real-world labeled network datasets, such as co-citation… 

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