The origin of preferential attachment and the generalized preferential attachment for weighted networks
| dc.creator | Chen, Chen | |
| dc.date | 2006-08-06 | |
| dc.date | 2007-02-12 | |
| dc.date.accessioned | 2026-07-07T07:47:07Z | |
| dc.date.available | 2026-07-07T07:47:07Z | |
| dc.description | In this paper, we first discuss the origin of preferential attachment. Then we establish the generalized preferential attachment which has two new properties; first, it encapsulates both the topological and weight aspects of a network, which makes it is neither entirely degree preferential nor entirely weight preferential. Second, it can tell us not only the chance that each already-existing vertex being connected but also how much weight each new edge has. The generalized preferential attachment can generate four power-law distributions, besides the three for vertex degrees, vertex strengths, and edge weights, it yield a new power-law distribution for the subgraph degrees. | |
| dc.description | 17 pages, 4 figures, final version, Physica A, 377, 709, 2007 | |
| dc.identifier | https://arxiv.org/abs/physics/0608063 | |
| dc.identifier | http://arxiv.org/abs/physics/0608063 | |
| dc.identifier | Physica A, 377, 709-716, 2007 | |
| dc.identifier | doi:10.1016/j.physa.2006.11.082 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/124059 | |
| dc.subject | Physics and Society | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.title | The origin of preferential attachment and the generalized preferential attachment for weighted networks | |
| dc.type | text |