Towards a parallel system for demographic zonification based on complex networks

Abstract

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.