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Markov process models for time-varying networks

Presented by: 
Harry Crane Rutgers, The State University of New Jersey
Date: 
Tuesday 13th December 2016 - 16:45 to 17:30
Venue: 
INI Seminar Room 1
Abstract: 

Many models for dynamic networks, such as the preferential attachment model, describe evolution by sequential addition of vertices and/or edges. Such models are not suited to networks whose connectivity varies over time, as in social relationships and other kinds of temporally varying interactions. For modeling in this latter setting, I develop the general theory of exchangeable Markov processes for time-varying networks and discuss relevant consequences.

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Presentation Material: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons