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Bongiorno C, London A, Miccichè S, et al. Core of communities in bipartite networks. Phys Rev E. 2017;96(2):022321doi: 10.1103/PhysRevE.96.022321.
Bongiorno, C., London, A., Miccichè, S., & Mantegna, R. N. (2017). Core of communities in bipartite networks. Physical review. E, 96(2), 022321. https://doi.org/10.1103/PhysRevE.96.022321
Bongiorno, Christian, et al. "Core of communities in bipartite networks." Physical review. E vol. 96,2 (2017): 022321. doi: https://doi.org/10.1103/PhysRevE.96.022321
Bongiorno C, London A, Miccichè S, Mantegna RN. Core of communities in bipartite networks. Phys Rev E. 2017 Aug;96(2):022321. doi: 10.1103/PhysRevE.96.022321. Epub 2017 Aug 25. PMID: 28950546.
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Phys Rev E. 2017 Aug;96(2):022321. doi: 10.1103/PhysRevE.96.022321. Epub 2017 Aug 25.

Core of communities in bipartite networks.

Physical review. E

Christian Bongiorno, András London, Salvatore Miccichè, Rosario N Mantegna

Affiliations

  1. Dipartimento di Fisica e Chimica, Università degli Studi di Palermo, Viale delle Scienze Ed. 18, I-90128 Palermo, Italy.
  2. Institute of Informatics, University of Szeged, Árpád tér 2, H-6720 Szeged, Hungary.
  3. Center for Network Science, Central European University, Nador 9, H-1051 Budapest, Hungary.
  4. Department of Computer Science, University College London, Gower Street, London WC1E 6BT, United Kingdom.

PMID: 28950546 DOI: 10.1103/PhysRevE.96.022321

Abstract

We use the information present in a bipartite network to detect cores of communities of each set of the bipartite system. Cores of communities are found by investigating statistically validated projected networks obtained using information present in the bipartite network. Cores of communities are highly informative and robust with respect to the presence of errors or missing entries in the bipartite network. We assess the statistical robustness of cores by investigating an artificial benchmark network, the coauthorship network, and the actor-movie network. The accuracy and precision of the partition obtained with respect to the reference partition are measured in terms of the adjusted Rand index and the adjusted Wallace index, respectively. The detection of cores is highly precise, although the accuracy of the methodology can be limited in some cases.

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