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

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dc.creatorMorris, Steven. A.
dc.creatorYen, Gary G.
dc.date2005-03-08
dc.date.accessioned2026-07-07T05:54:19Z
dc.date.available2026-07-07T05:54:19Z
dc.descriptionThis 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.
dc.description18 pages, 16 figures, plus Appendix
dc.identifierhttps://arxiv.org/abs/physics/0503061
dc.identifierhttp://arxiv.org/abs/physics/0503061
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/86922
dc.subjectPhysics and Society
dc.titleConstruction of bipartite and unipartite weighted networks from collections of journal papers
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