Identification of phases in scale-free networks
| dc.creator | Jenkins, Samantha | |
| dc.creator | Kirk, Steven R. | |
| dc.date | 2004-10-21 | |
| dc.date.accessioned | 2026-07-25T23:19:19Z | |
| dc.description | There 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.description | 12 pages, 5 figures | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0410528 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0410528 | |
| dc.identifier.uri | https://dspace.dare.co.zw/handle/123456789/97418 | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.title | Identification of phases in scale-free networks | |
| dc.type | text |