Abstract
We explore a community-detection cellular automata algorithm inspired by human heuristics, based on information diffusion and a non-linear processing phase with a dynamics inspired by human heuris- tics. The main point of the methods is that of furnishing different views of the clustering levels from an individual point of view. We apply the method to networks with local connectivity and long-range rewiring. © 2012 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Bagnoli, F., Massaro, E., & Guazzini, A. (2012). Community-detection cellular automata with local and long-range connectivity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7495 LNCS, pp. 204–213). Springer Verlag. https://doi.org/10.1007/978-3-642-33350-7_21
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