Network connection strengths: Another power-law?
| dc.creator | Li, Chunguang | |
| dc.creator | Chen, Guanrong | |
| dc.date | 2003-11-14 | |
| dc.date.accessioned | 2026-07-07T02:54:46Z | |
| dc.date.available | 2026-07-07T02:54:46Z | |
| dc.description | It has been discovered recently that many social, biological and ecological systems have the so-called small-world and scale-free features, which has provoked new research interest in the studies of various complex networks. Yet, most network models studied thus far are binary, with the linking strengths being either 0 or 1, while which are best described by weighted-linking networks, in which the vertices interact with each other with varying strengths. Here we found that the distribution of connection strengths of scientific collaboration networks decays also in a power-law form and we conjecture that all weighted-linking networks of this type follow the same distribution. | |
| dc.description | 5 pages, 3 figures | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0311333 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0311333 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/22689 | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.subject | Statistical Mechanics | |
| dc.title | Network connection strengths: Another power-law? | |
| dc.type | text |