Coarse-graining the dynamics of network evolution: the rise and fall of a networked society

Andreas C Tsoumanis, Karthikeyan Rajendran, Constantinos I Siettos, Ioannis G Kevrekidis
2012 New Journal of Physics  
We explore a systematic approach to studying the dynamics of evolving networks at a coarse-grained, system level. We emphasize the importance of finding good observables (network properties) in terms of which coarse grained models can be developed. We illustrate our approach through a particular social network model: the "rise and fall" of a networked society [1]: we implement our low-dimensional description computationally using the equation-free approach and show how it can be used to (a)
more » ... be used to (a) accelerate simulations and (b) extract system-level stability/bifurcation information from the detailed dynamic model. We discuss other system-level tasks that can be enabled through such a computer-assisted coarse graining approach.
doi:10.1088/1367-2630/14/8/083037 fatcat:am6iijuifrap5pz7una5dkmp2m