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Towards a parallel system for demographic zonification based on complex networks

Alberto Ochoa, Beatrí­z Bernábe, Omar Ochoa
2009 Journal of Applied Research and Technology  
This paper presents a novel method for the zone design problem that is based on a popular technique in the field of complex networks research: betweenness centrality. We use a parallel version of a community detection algorithm that outputs the graph partitioning that maximizes the so‐called modularity metric. The method is put at the centre of an effort to build an open source interactive high erformance computing platform to assist researchers working with population data.
doi:10.22201/icat.16656423.2009.7.02.519 fatcat:jj4dpc4zczan7dtzfeqbr5dweq