| Literature DB >> 18159217 |
Roger Guimerà1, Luís A Nunes Amaral.
Abstract
Integrative approaches to the study of complex systems demand that one knows the manner in which the parts comprising the system are connected. The structure of the complex network defining the interactions provides insight into the function and evolution of the components of the system. Unfortunately, the large size and intricacy of these networks implies that such insight is usually difficult to extract. Here, we propose a method that allows one to systematically extract and display information contained in complex networks. Specifically, we demonstrate that one can (i) find modules in complex networks and (ii) classify nodes into universal roles according to their pattern of within- and between-module connections. The method thus yields a 'cartographic representation' of complex networks.Year: 2005 PMID: 18159217 PMCID: PMC2151742 DOI: 10.1088/1742-5468/2005/02/P02001
Source DB: PubMed Journal: J Stat Mech ISSN: 1742-5468 Impact factor: 2.231