title: Emergence of Multiplex Communities in Collaboration Networks.
abstract: Community structures in collaboration networks reflect the natural tendency of individuals to organize their work in groups in order to better achieve common goals. In most of the cases, individuals exploit their connections to introduce themselves to new areas of interests, giving rise to multifaceted collaborations which span different fields. In this paper, we analyse collaborations in science and among movie actors as multiplex networks, where the layers represent respectively research topics and movie genres, and we show that communities indeed coexist and overlap at the different layers of such systems. We then propose a model to grow multiplex networks based on two mechanisms of intra and inter-layer triadic closure which mimic the real processes by which collaborations evolve. We show that our model is able to explain the multiplex community structure observed empirically, and we infer the strength of the two underlying social mechanisms from real-world systems. Being also able to correctly reproduce the values of intra-layer and inter-layer assortativity correlations, the model contributes to a better understanding of the principles driving the evolution of social networks.
authors.affiliation: School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom.
authors.forename: Federico
authors.initials: F
authors.lastname: Battiston
authors.affiliation: School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom.
authors.forename: Jacopo
authors.initials: J
authors.lastname: Iacovacci
authors.affiliation: School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom.
authors.forename: Vincenzo
authors.initials: V
authors.lastname: Nicosia
authors.affiliation: School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom.
authors.forename: Ginestra
authors.initials: G
authors.lastname: Bianconi
authors.affiliation: School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom.|Dipartimento di Fisica ed Astronomia, Università di Catania and INFN, I-95123 Catania, Italy.
authors.forename: Vito
authors.initials: V
authors.lastname: Latora
mesh_terms: D003299:Cooperative Behavior; D006801:Humans; D008962:Models, Theoretical; D009040:Motion Pictures; D012106:Research; D012111:Residence Characteristics; D012586:Science; D060756:Social Networking
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