dorsal/arxiv
View SchemaModelling temporal and spatial features of collaboration network
| Authors | Anjan Kumar Chandra, Kamalika Basu Hajra, Pratap Kumar Das, Parongama Sen |
|---|---|
| Categories | |
| ArXiv ID | physics/0612069 |
| URL | https://arxiv.org/abs/physics/0612069 |
| DOI | 10.1142/S0129183107011194 |
Abstract
The collaboration network is an example of a social network which has both non-trivial temporal and spatial dependence. Based on the observations of collaborations in Physical Review Letters, a model of collaboration network is proposed which correctly reproduces the time evolution of the link length distributions, clustering coefficients, degree distributions and assortative property of real data to a large extent.
{
"annotation_id": "ed2020df-3382-4102-8f43-7aa680abcc32",
"date_created": "2026-03-02T18:01:14.409000Z",
"date_modified": "2026-03-02T18:01:14.409000Z",
"file_hash": "2def8a12e8c2c7a275bf6dd1aba8301639bf2490f98d95606e864e8c11eb681f",
"private": false,
"record": {
"abstract": "The collaboration network is an example of a social network which has both\nnon-trivial temporal and spatial dependence. Based on the observations of\ncollaborations in Physical Review Letters, a model of collaboration network is\nproposed which correctly reproduces the time evolution of the link length\ndistributions, clustering coefficients, degree distributions and assortative\nproperty of real data to a large extent.",
"arxiv_id": "physics/0612069",
"authors": [
"Anjan Kumar Chandra",
"Kamalika Basu Hajra",
"Pratap Kumar Das",
"Parongama Sen"
],
"categories": [
"physics.soc-ph",
"physics.data-an"
],
"doi": "10.1142/S0129183107011194",
"title": "Modelling temporal and spatial features of collaboration network",
"url": "https://arxiv.org/abs/physics/0612069"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "2d8e85c6-cbcb-42d0-b596-9e174c9ea85d",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}