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 Date: March 10, 2010 (Wednesday) - 16:00  Location: Dipartimento di Fisica e Astronomia, Via S. Sofia, 64, Aula F  Dr. John Tang Computer Laboratory Cambridge University, Cambridge, UK  Temporal Distance Metric for Social Network Analysis   Abstract: The analysis of social and technological networks has attracted a lot of attention as social networking applications and mobile sensing devices have given us a wealth of real data. Classic studies looked at analysing static or aggregated networks, i.e., networks that do not change over  time or built as the results of aggregation of information over a certain  period of time. Given the soaring collections of measurements related to very large, real network traces, researchers are quickly starting to realise that connections are inherently varying over time and exhibit more dimensionality than static analysis can capture. In this talk I will propose new temporal distance metrics to quantify  and compare the speed (delay) of information diffusion processes taking into account the evolution of a network from a global view. We show how these metrics are able to capture the temporal characteristics of time-varying graphs, such as delay, duration and time order of contacts  (interactions). I conclude with results of comparing path length calculations on static  and temporal graphs.  For more information and updates, please consult  http://agenda.ct.infn.it/categoryDisplay.py?categId=51 or contact  Vito.Latora@ct.infn.it