Core of communities in bipartite networks

Rosario Nunzio Mantegna, Salvatore Micciche', Christian Bongiorno, Rosario N. Mantegna, András London

Risultato della ricerca: Article

4 Citazioni (Scopus)

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.
Lingua originaleEnglish
pagine (da-a)022321-1-022321-10
Numero di pagine10
RivistaPHYSICAL REVIEW. E
Volume96
Stato di pubblicazionePublished - 2017

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Bipartite Network
Partition
partitions
Benchmark
Robustness
Community
Methodology
entry
methodology

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Condensed Matter Physics
  • Statistics and Probability

Cita questo

Core of communities in bipartite networks. / Mantegna, Rosario Nunzio; Micciche', Salvatore; Bongiorno, Christian; Mantegna, Rosario N.; London, András.

In: PHYSICAL REVIEW. E, Vol. 96, 2017, pag. 022321-1-022321-10.

Risultato della ricerca: Article

Mantegna, RN, Micciche', S, Bongiorno, C, Mantegna, RN & London, A 2017, 'Core of communities in bipartite networks', PHYSICAL REVIEW. E, vol. 96, pagg. 022321-1-022321-10.
Mantegna, Rosario Nunzio ; Micciche', Salvatore ; Bongiorno, Christian ; Mantegna, Rosario N. ; London, András. / Core of communities in bipartite networks. In: PHYSICAL REVIEW. E. 2017 ; Vol. 96. pagg. 022321-1-022321-10.
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AU - Bongiorno, Christian

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AB - 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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