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Regensburg 2013 – scientific programme

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 25: Poster session

SOE 25.4: Poster

Thursday, March 14, 2013, 17:15–19:00, Poster C

On the robustness of in- and out-components in a temporal network of animal trade — •Philipp Hövel1,2,3, Mario Konschake1,4, Hartmut Lentz4,5, and Thomas Selhorst51Institut für Theoretische Physik, Technische Universität Berlin — 2Bernstein Center for Computational Neuroscience Berlin — 3Center for Complex Network Research, Northeastern University, Boston — 4Friedrich-Loeffler-Institut, Wusterhausen — 5Institut für Physik, Humboldt-Universität zu Berlin

Many networks exhibit time-dependent topologies, where an edge only exists during a certain period of time. In this work, we focus on the propagation properties of infectious diseases in time-dependent networks. In particular, we analyze a dataset containing livestock trade movements. The corresponding networks are known to be a major route for the spread of animal diseases and the chronology of contacts is crucial.

We find that a time-aggregated approach might fail to identify epidemiologically relevant nodes. Hence, we explore the adaptability of the concept of centrality of nodes to temporal networks using a data-driven approach on the example of animal trade. We utilize the size of the in- and out-component of nodes as centrality measures. We show that a ranking of nodes according to their component sizes is reasonably stable for a wide range of infectious periods. Samples based on this ranking are robust enough against varying disease parameters and hence are promising tools for disease control.

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