Latent Geometry in Networked Systems: From Internet
Interdomain Routing to Human Diseases
Speaker: Dr. Maksim Kitsak, Ph.D.
February 9, 2017, 4:00 pm
Location: Fischbach Room, Folsom Library
Hosted By: Prof. Boleslaw Szymanski (x6838)
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 to 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, including Internet interdomain routing, large-scale dynamics of networked systems, human diseases and social dynamics.
Dr. Kitsak is an associate research scientist in the Department of Physics and the Network Science Institute at Northeastern University. Dr. Kitsak earned Ph.D. in theoretical physics from Boston University in 2009 under the direction of Prof. H. E. Stanley. Dr. Kitsak has 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). His research focuses on the development of theoretical and computational approaches to networked systems.
Last updated: January 30, 2017