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Fighting Pandemics in the Age of Big Data by Professor Alessandro Vespignani

Diseases have no boundaries. We live in an interconnected world where every day one billion cars take to the road and more than two billion people travel eac...
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[1209.1411] Joint Scaling Theory of Human Dynamics and Network Science

Joint Scaling Theory of Human Dynamics and Network Science

Chaoming Song, Dashun Wang, Albert-Laszlo Barabasi
(Submitted on 6 Sep 2012)
The increasing availability of large-scale data on human behavior has catalyzed simultaneous advances in network theory, capturing the scaling properties of the interactions between a large number of individuals, and human dynamics, quantifying the temporal characteristics of human activity patterns. These two areas remain disjoint, however, traditionally each pursuing as a separate modeling framework. Here we establish the first formal link between these two areas by showing that the exponents characterizing the degree and link weight distribution in social networks can be expressed in terms of the dynamical exponents characterizing human activity patterns. We test the validity of these theoretical predictions on datasets capturing various facets of human interactions, from mobile calls to tweets. We find evidence of a universal measure, that links networks and human dynamics, but whose value is independent of the means of communication, capturing a fundamental property of human activity.

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Dirk Helbing recieves Golden Idea Award in Zurich

Dirk Helbing has recieved the „Golden Idea Award 2012"by IDEE-SUISSE® -- Schweizerische Gesellschaft für Ideen- und Innovationsmanagement for his project: «S...
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