Multilayer weighted social network model

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

Tutkijat

Organisaatiot

  • RIKEN
  • Japan Science and Technology Agency
  • Budapest University of Technology and Economics
  • Pohang University of Science and Technology
  • Central European University

Kuvaus

Recent empirical studies using large-scale data sets have validated the Granovetter hypothesis on the structure of the society in that there are strongly wired communities connected by weak ties. However, as interaction between individuals takes place in diverse contexts, these communities turn out to be overlapping. This implies that the society has a multilayered structure, where the layers represent the different contexts. To model this structure we begin with a single-layer weighted social network (WSN) model showing the Granovetterian structure. We find that when merging such WSN models, a sufficient amount of interlayer correlation is needed to maintain the relationship between topology and link weights, while these correlations destroy the enhancement in the community overlap due to multiple layers. To resolve this, we devise a geographic multilayer WSN model, where the indirect interlayer correlations due to the geographic constraints of individuals enhance the overlaps between the communities and, at the same time, the Granovetterian structure is preserved.

Yksityiskohdat

AlkuperäiskieliEnglanti
Artikkeli052810
Sivut1-8
JulkaisuPhysical Review E
Vuosikerta90
Numero5
TilaJulkaistu - 17 marraskuuta 2014
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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