Network science has grown tremendously over recent decades because networks turned out to provide a practically and methodologically useful trade-off between simplicity and realism in modeling a variety of complex systems, ranging from ecology to cosmology. Yet in view of ever-growing amounts of Big Data generated by these biological, sociological, technological and cosmological systems, the optimality of mathematical abstractions used to study them is constantly reassessed, calling for higher-dimensional models with richer (latent) structure. Two related research directions in development and application of such enriched models of complex systems are latent geometry of networks and higher-dimensional simplicial complex representations.
The Network Geometry and Topology workshop will focus on a number of topics including geometry and topology of random graphs and simplicial complexes, both real and synthetic, their dynamics, dynamics of various processes (such as navigation) running on them, emerging geometries of evolving networks, efficient statistical inference methods for learning latent geometries in real networks, as well as applications of everything above to real networks embedded in latent or physical spaces. The aim of this workshop is to stimulate the discussion between practitioners studying complex systems and network theorists working on geometry and topology of random graphs and simplicial complexes.
|Location||K-Hotel, Seoul, Korea|
|Submission deadline||15/05/2016 0:00|
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