title: Communication dynamics in finite capacity social networks.
abstract: In communication networks, structure and dynamics are tightly coupled. The structure controls the flow of information and is itself shaped by the dynamical process of information exchanged between nodes. In order to reconcile structure and dynamics, a generic model, based on the local interaction between nodes, is considered for the communication in large social networks. In agreement with data from a large human organization, we show that the flow is non-Markovian and controlled by the temporal limitations of individuals. We confirm the versatility of our model by predicting simultaneously the degree-dependent node activity, the balance between information input and output of nodes, and the degree distribution. Finally, we quantify the limitations to network analysis when it is based on data sampled over a finite period of time.
authors.affiliation: Niels Bohr Institute, University of Copenhagen, Blegdamsvej 17, DK-2100 Copenhagen, Denmark.
authors.forename: Jan O
authors.initials: JO
authors.lastname: Haerter
authors.forename: Bjørn
authors.initials: B
authors.lastname: Jamtveit
authors.forename: Joachim
authors.initials: J
authors.lastname: Mathiesen
mesh_terms: D003142:Communication; D006801:Humans; D007255:Information Services; D008962:Models, Theoretical; D012944:Social Support