dorsal/arxiv
View SchemaSocial inertia in collaboration networks
| Authors | Jose J. Ramasco, Steven A. Morris |
|---|---|
| Categories | |
| ArXiv ID | physics/0509247 |
| URL | https://arxiv.org/abs/physics/0509247 |
| DOI | 10.1103/PhysRevE.73.016122 |
| Journal | Phys. Rev. E 73, 016122 (2006) |
Abstract
This work is a study of the properties of collaboration networks employing the formalism of weighted graphs to represent their one-mode projection. The weight of the edges is directly the number of times that a partnership has been repeated. This representation allows us to define the concept of "social inertia" that measures the tendency of authors to keep on collaborating with previous partners. We use a collection of empirical datasets to analyze several aspects of the social inertia: 1) its probability distribution, 2) its correlation with other properties, and 3) the correlations of the inertia between neighbors in the network. We also contrast these empirical results with the predictions of a recently proposed theoretical model for the growth of collaboration networks.
{
"annotation_id": "5eb0796a-c409-40fe-bc62-428360c387f0",
"date_created": "2026-03-02T18:01:00.410000Z",
"date_modified": "2026-03-02T18:01:00.410000Z",
"file_hash": "a751753abb85212d3ee402fe5e1cabea3a8c36ee00f79f3341404cc945860f31",
"private": false,
"record": {
"abstract": "This work is a study of the properties of collaboration networks employing\nthe formalism of weighted graphs to represent their one-mode projection. The\nweight of the edges is directly the number of times that a partnership has been\nrepeated. This representation allows us to define the concept of \"social\ninertia\" that measures the tendency of authors to keep on collaborating with\nprevious partners. We use a collection of empirical datasets to analyze several\naspects of the social inertia: 1) its probability distribution, 2) its\ncorrelation with other properties, and 3) the correlations of the inertia\nbetween neighbors in the network. We also contrast these empirical results with\nthe predictions of a recently proposed theoretical model for the growth of\ncollaboration networks.",
"arxiv_id": "physics/0509247",
"authors": [
"Jose J. Ramasco",
"Steven A. Morris"
],
"categories": [
"physics.soc-ph",
"cond-mat.stat-mech"
],
"doi": "10.1103/PhysRevE.73.016122",
"journal_ref": "Phys. Rev. E 73, 016122 (2006)",
"title": "Social inertia in collaboration networks",
"url": "https://arxiv.org/abs/physics/0509247"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "ba846ee6-9ea8-423f-8bf5-87f9721fa13a",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}