Identification of phases in scale-free networks

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dc.creatorJenkins, Samantha
dc.creatorKirk, Steven R.
dc.date2004-10-21
dc.date.accessioned2026-07-07T03:01:36Z
dc.date.available2026-07-07T03:01:36Z
dc.descriptionThere is a pressing need for a description of complex systems that includes considerations of the underlying network of interactions, for a diverse range of biological, technological and other networks. In this work relationships between second-order phase transitions and the power laws associated with scale-free networks are directly quantified. A unique unbiased partitioning of complex networks (exemplified in this work by software architectures) into high- and low-connectivity regions can be made. Other applications to finance and aerogels are outlined.
dc.description12 pages, 5 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0410528
dc.identifierhttp://arxiv.org/abs/cond-mat/0410528
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/25107
dc.subjectDisordered Systems and Neural Networks
dc.titleIdentification of phases in scale-free networks
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