Networks are nowadays very popular targets of investigation. They are good models for various types of interactions, such as social interactions, interactions in biology, communication. Network's properties are strongly influenced by the network history and dynamics. In this talk I revise recent models of dynamic networks and present a model of growing network in which such processes as node addition, edge rewiring and new link creation are taken into account.
I argue, that this model is a satisfactory minimal model explaining language data. Proposal as how to extend the methodology to extract brain dynamic networks from fMRI measurements will be also offered.
Last modified: Tuesday, 15-Jul-2008 09:05:15 NZST
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