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ABSTRACT / In this talk I discuss a framework for modeling temporal communication networks and dynamical processes unfolding on such networks. The framework originates from the (new) observation that there is a meaningful division of temporal communication networks into six dynamic classes, where the class of a network is determined by its generating process. In particular, each class is characterized by a fundamental structure: a temporal-topological network motif, which corresponds to the network structure of communication events in that class of network. These higher order structures constrain network configurations: only certain configurations are possible within a dynamic class. In this way the framework presented here highlights strong constraints on network structures, which simplify analyses and shape network flows. Therefore the fundamental structures hold the potential to impact how we model temporal networks.
BIO / Sune Lehmann is Professor of Complexity and Network Science at the Technical University of Denmark, and Professor at Social Data Science at the Center for Social Data Science at the University of Copenhagen. He is also the Associate Director of the Center for Social Data Science (SODAS) at the University of Copenhagen. Sune's work focuses on understanding human behavior based on the traces we leave behind when we interact with technology.