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Seminar in Computational Science and Data Analytics

April 13, 2016 - 10:00am to 11:30am


Science and Engineering 2 Building, Room 302

CatCast Live Stream link



The prediction and control of the dynamics of networked systems is one of the central problems in network science. Structural and dynamical similarities of different real networks suggest that some universal

laws might accurately describe the dynamics of these networks, though the nature and common origins of such laws remain elusive. Do these universal laws exist? We do not have the answer to this question… yet.


I will talk about the latent geometry approach to networked systems, which, in my opinion, could be a first step toward the formulation of universal laws of network dynamics. In this approach, networks

underlying complex systems are viewed as discretizations of smooth geometric spaces. Network nodes are points in these spaces and the probability of a connection between nodes is fully determined by the

distance between them; the smaller the distance between the two nodes the higher the probability of a connection between them.


I will start my talk with a motivation and a high level introduction of the latent geometry concept. I will continue with a (semi) rigorous discussion of the mathematics underlying the approach and

computational algorithms for uncovering latent geometries of real systems. I will conclude my talk by describing existing and prospective applications of the latent geometry approach, including Internet

interdomain routing, large-scale dynamics of networked systems, human diseases and social dynamics.

Further details are available at


Dr. Kitsak earned Ph.D. in theoretical physics from Boston University in 2009 under the direction of Prof. H. E. Stanley. Dr. Kitsak held postdoctoral positions at the Center for Applied Internet Data

Analysis (CAIDA), UC San Diego (2009-2012); and the Center for Complex Network Research (CCNR), Northeastern University (2012-2014). Dr. Kitsak is an associate research scientist in the department of physics and a part-time lecturer in the mathematics department of Northeastern University. His is interested in the development and the application of geometric approaches to complex networked systems. Results of his research were published in top cross-disciplinary journals, such as Nature Physics, Nature, Scientific Reports, and Science and received broad media coverage.

For more information, please contact:

Ramesh Balasubramaniam

Science and Engineering 2 Building, Room 302
Ramesh Balasubramaniam
Cognitive and Information Sciences, School of Social Science, Humanities, and Art
5200 North Lake Rd.
Merced, CA 95343
United States