Time evolution of link length distribution in PRL collaboration network
| dc.creator | Sen, Parongama | |
| dc.creator | Chandra, Anjan Kumar | |
| dc.creator | Hajra, Kamalika Basu | |
| dc.creator | Das, Pratap Kumar | |
| dc.date | 2005-11-21 | |
| dc.date | 2006-03-22 | |
| dc.date.accessioned | 2026-07-07T06:52:25Z | |
| dc.date.available | 2026-07-07T06:52:25Z | |
| dc.description | An important aspect of a Euclidean network is its link length distribution, studied in a few real networks so far. We compute the distribution of the link lengths between collaborators whose papers appear in the PhysicalReview Letters (PRL) in several years within a range of four decades. The distribution is non-monotonic; there is a peak at nearest neighbour distances followed by a sharp fall and a subsequent rise at larger distances. The behaviour of the statistical properties of the distribution with time indicates that collaborations might become distance independent in about thirty to forty years. | |
| dc.description | References added, paper shortened and modified | |
| dc.identifier | https://arxiv.org/abs/physics/0511181 | |
| dc.identifier | http://arxiv.org/abs/physics/0511181 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/105295 | |
| dc.subject | Physics and Society | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.title | Time evolution of link length distribution in PRL collaboration network | |
| dc.type | text |