  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 heuristics. 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.
