Communication dynamics in finite capacity social networks

31 Citations (Scopus)

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.

Original languageEnglish
JournalPhysical Review Letters
Volume109
Issue number16
Pages (from-to)168701
Number of pages5
ISSN0031-9007
DOIs
Publication statusPublished - 15 Oct 2012

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