We propose a simple approach to visualising the time behaviour of Random Boolean Networks (RBNs), and demonstrate the approach in a variety of cases: examining the dynamics as a function of network size for K = 2 connectivity networks, examining the effect of state and structure mutations on K = 2 networks, and examining the effect of canalising functions for K > 2 networks. We provide a Matlab implementation of the visualisation algorithm, and of the various demonstrations.
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@techreport(SS-YCS-448, author = "Susan Stepney", title = "Visualising the dynamics of Random Boolean Networks: examples of network size, mutation, canalisation", institution = "Department of Computer Science, University of York", number = "YCS-2010-448", month = feb, year = 2010 )