Monday, May 28

MS2
Complex Networks: Dynamics and Community Detection - Part I of II

8:15 AM - 10:15 AM
Room: Ballroom II

For Part II, see MS24

Mathematicians, physicists, and computer scientists have made tremendous advances in the study of real-world networks in recent years. Two broad areas under active investigation include the identification of closely connected subnetworks ("communities") and the study of dynamical systems coupled via complicated network topologies. In this two-part minisymposium, we highlight recent work in these two areas, with applications ranging from social science and public policy to neuroscience and the spread of epidemics. This session is complementary to the networks minisymposium organized by Mario di Bernardo and Erik Bollt (MS46).

Organizer: Mason A. Porter
University of Oxford, United Kingdom
Peter J. Mucha
University of North Carolina

8:15-8:40 Community Structure in Social Networks

Peter J. Mucha, University of North Carolina

8:45-9:10 Community Structure in the United States House of Representatives

Mason A. Porter, University of Oxford, United Kingdom

9:15-9:40 Structural Inference and Hierarchical Clustering in Complex Networks

Aaron Clauset, Santa Fe Institute

9:45-10:10 Modularity: An Information-theoretic Approach

Chris Wiggins, Columbia University