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Construction of bipartite and unipartite weighted networks from collections of journal papers

2005/03/08 by Sidney A. Morris, Steven. A. Morris, Morris, Steven. A. +2
Decision Sciences · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Physical sciences #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #physics.soc-ph #scientometrics and bibliometrics research

paper · pdf · doi:10.48550/arxiv.physics/0503061

18 pages, 16 figures, plus Appendix

arxiv created 2005/03/08 · openalex publication_date 2005/03/08 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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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