Abstract
Integrative approaches to the study of complex systems demand that one knows themanner in which the parts comprising the system are connected. The structure ofthe complex network defining the interactions provides insight into the functionand evolution of the components of the system. Unfortunately, the large sizeand intricacy of these networks implies that such insight is usually difficult toextract. Here, we propose a method that allows one to systematically extract anddisplay information contained in complex networks. Specifically, we demonstratethat one can (i) find modules in complex networks and (ii) classify nodes intouniversal roles according to their pattern of within- and between-module connections.The method thus yields a ‘cartographic representation’ of complex networks.
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