Proceedings of the 13 th International Workshop on Graph Transformation and Visual Modeling Techniques ( GTVMT 2014 ) Modelling Adaptive Networks : The Case of the Petrified Voters

Abstract

Adaptive networks are characterised by mutual dependencies between nodes’ local state changes and evolving topology. Stochastic graph transformation systems are ideally suited to model such networks, but in order to analyse their properties we require more scalable methods. We present a case study of a simple but representative example of adaptive networks… (More)

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