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dc.contributor.authorRoy, Soumen
dc.date.accessioned2012-10-17T07:00:43Z
dc.date.available2012-10-17T07:00:43Z
dc.date.issued2012-06-01
dc.identifierFOR ACCESS PROBLEM CONTACT LIBRARIAN, BOSE INSTITUTEen_US
dc.identifier.citationSystems biology beyond degree, hubs and scale-free networks: the case for multiple metrics in complex networks Systems and Synthetic Biology [Springer] (2012) 6:31-34 arxiv:1205.2318 Soumen Royen_US
dc.identifier.issn1872-5325
dc.identifier.issn1872-5333
dc.identifier.urihttp://link.springer.com/article/10.1007%2Fs11693-012-9094-y
dc.descriptionDOI: 10.1007/s11693-012-9094-yen_US
dc.description.abstractModeling and topological analysis of networks in biological and other complex systems, must venture beyond the limited consideration of very few network metrics like degree, betweenness or assortativity. A proper identification of informative and redundant entities from many different metrics, using recently demonstrated techniques, is essential. A holistic comparison of networks and growth models is best achieved only with the use of such methods.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectSystems biologyen_US
dc.subjectComplex networksen_US
dc.subjectMultiple network metricsen_US
dc.subjectHubsen_US
dc.subjectScale-free networksen_US
dc.titleSystems biology beyond degree, hubs and scale-free networks: the case for multiple metrics in complex networksen_US
dc.title.alternativeSystems and Synthetic Biologyen_US
dc.title.alternativearXiven_US
dc.typeArticleen_US


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