Conference Information
Network Science is an emerging area at the intersection of physics, mathematics, computer science and statistics. The range of applications cover many areas including bioinformatics, economics, communication networks and sociology. Many of these phenomena involve diffusion-like processes such as the spread of diseases and information. These can be modeled by simple dynamical processes or cascades (e.g., percolation) on large-scale, dynamic heterogenous networks. Here the cascades or spread of contagions take the form of "spatio-temporal" patterns evolving over networks ("space") which serve as a medium for information transmission and propagation of ideas. Despite the incredibly broad range of phenomena covered by network science, there is a rich theory of networks and dynamics that unifies them. The fundamental questions that underlie such phenomena (the analysis of their dynamical properties, the interplay between network structure & dynamics, the computational complexity) have a common mathematical basis, which has yet to be fully appreciated.Goal. The workshop will bring together experts from theory and applications of various domains of network science to strengthen our understanding of complex socio-technical systems, and to facilitate cross-fertilization of methods from the various domains. This is a two day workshop featuring researchers in theoretical and applied areas of network science. The first day will have tutorials by experts in the areas of percolation, complex networks and data mining while the second day will be open for application-oriented talks by practitioners. There will be ample opportunities for discussions and exchanges of ideas.
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| Photo Credit: San Diego Supercomputer Center, David Nadeau |
Organizers
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