title: Emergence of communities in weighted networks.
abstract: Topology and weights are closely related in weighted complex networks and this is reflected in their modular structure. We present a simple network model where the weights are generated dynamically and they shape the developing topology. By tuning a model parameter governing the importance of weights, the resulting networks undergo a gradual structural transition from a module-free topology to one with communities. The model also reproduces many features of large social networks, including the "weak links" property.
authors.affiliation: Laboratory of Computational Engineering, Helsinki University of Technology, P.O. Box 9203, FIN-02015 HUT, Finland. jkumpula@lce.hut.fi
authors.forename: Jussi M
authors.initials: JM
authors.lastname: Kumpula
authors.forename: Jukka-Pekka
authors.initials: JP
authors.lastname: Onnela
authors.forename: Jari
authors.initials: J
authors.lastname: Saramäki
authors.forename: Kimmo
authors.initials: K
authors.lastname: Kaski
authors.forename: János
authors.initials: J
authors.lastname: Kertész