Understanding Complex Systems: Network and Dynamics

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Venue:OE 134

Dr. Chaoming Song

Department of Physics,Miami University

Refreshments will be served at 1:15 PM

Abstract:

Fueled by a wealth of data supplied by a wide range of high-throughput tools and technologies, the study of complex systems is currently reshaping a number of research fields from social science to computer science and biology. This data-rich reality calls for new approaches and techniques to harvest the hidden information and devise new models to explain the underlying principles of various complex systems. While from a functional standpoint different systems may appear to be distinct from one another, there is an increasing realization that they often share similar structural and dynamic properties. Such similarities offer new perspectives and unique opportunities for physicists to apply their methodologies on a much broader set of phenomena. In this talk, I will first present a macroscopic study of large-scale network structures observed in diverse datasets, and next focus on understanding social activities such as communication and traveling pattern at the each individual level. In the end, I will show a series of relationships that link the quantities characterizing social networks and human dynamics, and demonstrate their generality across a wide range of systems, from mobile calls to tweets.

Biography:

Dr. Dr. Chaoming Song is an Assistant Professor in physics at University of Miami. He received the B.S. degree from the Fudan University in China in 2001 and the Ph.D. degree in physics from the City University of New York (CUNY) in 2008. Between 2008 and 2013, he worked with Laszlo Barabasi at the Northeastern University and Harvard Medical School as a postdoctoral fellow. Since August 2013 he joined in the Physics Department of University of Miami. Song’s research interests lie in the intersection of statistical physics, network science, biological science and computational social science, broadly exploring patterns behind petabytes of data. One of his recent activities in this area is aiming to understand the fundamental properties of human mobility and interactions at various scales. He is also actively contributing to the network science area − an interdisciplinary field studying complex interactions that aims to connect phenomena emerged in different fields into a universal description. Currently Song is serving as an editorial board member of Nature: Scientific Reports.

The event is free and open to the public.