dorsal/arxiv
View SchemaConstruction of bipartite and unipartite weighted networks from collections of journal papers
| Authors | Steven. A. Morris, Gary G. Yen |
|---|---|
| Categories | |
| ArXiv ID | physics/0503061 |
| URL | https://arxiv.org/abs/physics/0503061 |
Abstract
This work presents a model that allows the study of research specialties through the manifestations of the specialty's social and epistemological processes in a collection of journal papers. Collections of papers are modeled as coupled bipartite networks interlinking 7 types of entities. Matrix-based link weight functions are introduced to calculate weighted bipartite networks and weighted unipartite co-occurrence networks in the collection of papers. These weight calculation methods, when used in conjunction with unweighted bipartite growth models, produce simple growth models for weighted networks in collections of papers.
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"date_created": "2026-03-02T18:00:56.231000Z",
"date_modified": "2026-03-02T18:00:56.231000Z",
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"abstract": "This work presents a model that allows the study of research specialties\nthrough the manifestations of the specialty\u0027s social and epistemological\nprocesses in a collection of journal papers. Collections of papers are modeled\nas coupled bipartite networks interlinking 7 types of entities. Matrix-based\nlink weight functions are introduced to calculate weighted bipartite networks\nand weighted unipartite co-occurrence networks in the collection of papers.\nThese weight calculation methods, when used in conjunction with unweighted\nbipartite growth models, produce simple growth models for weighted networks in\ncollections of papers.",
"arxiv_id": "physics/0503061",
"authors": [
"Steven. A. Morris",
"Gary G. Yen"
],
"categories": [
"physics.soc-ph"
],
"title": "Construction of bipartite and unipartite weighted networks from collections of journal papers",
"url": "https://arxiv.org/abs/physics/0503061"
},
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"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
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