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We aim to develop a transformative computational method for automatic discovery of a set of dynamical rules that best captures both state transition and topological transformation in the data of spatio-temporal evolution of a complex network.
The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu).
NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.
SuperG is a code library written in Python intended to quickly enable programmers in a scientific environment to manage data files created by dispersed scientific instrumentation.