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Backbone: An R package for extracting the backbone of bipartite projections

Bipartite projections are used in a wide range of network contexts including politics (bill co-sponsorship), genetics (gene co-expression), economics (executive board co-membership), and innovation (patent co-authorship). However, because bipartite projections are always weighted graphs, which are i...

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Detalles Bibliográficos
Autores principales: Domagalski, Rachel, Neal, Zachary P., Sagan, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787471/
https://www.ncbi.nlm.nih.gov/pubmed/33406145
http://dx.doi.org/10.1371/journal.pone.0244363
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author Domagalski, Rachel
Neal, Zachary P.
Sagan, Bruce
author_facet Domagalski, Rachel
Neal, Zachary P.
Sagan, Bruce
author_sort Domagalski, Rachel
collection PubMed
description Bipartite projections are used in a wide range of network contexts including politics (bill co-sponsorship), genetics (gene co-expression), economics (executive board co-membership), and innovation (patent co-authorship). However, because bipartite projections are always weighted graphs, which are inherently challenging to analyze and visualize, it is often useful to examine the ‘backbone,’ an unweighted subgraph containing only the most significant edges. In this paper, we introduce the R package backbone for extracting the backbone of weighted bipartite projections, and use bill sponsorship data from the 114(th) session of the United States Senate to demonstrate its functionality.
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spelling pubmed-77874712021-01-14 Backbone: An R package for extracting the backbone of bipartite projections Domagalski, Rachel Neal, Zachary P. Sagan, Bruce PLoS One Research Article Bipartite projections are used in a wide range of network contexts including politics (bill co-sponsorship), genetics (gene co-expression), economics (executive board co-membership), and innovation (patent co-authorship). However, because bipartite projections are always weighted graphs, which are inherently challenging to analyze and visualize, it is often useful to examine the ‘backbone,’ an unweighted subgraph containing only the most significant edges. In this paper, we introduce the R package backbone for extracting the backbone of weighted bipartite projections, and use bill sponsorship data from the 114(th) session of the United States Senate to demonstrate its functionality. Public Library of Science 2021-01-06 /pmc/articles/PMC7787471/ /pubmed/33406145 http://dx.doi.org/10.1371/journal.pone.0244363 Text en © 2021 Domagalski et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Domagalski, Rachel
Neal, Zachary P.
Sagan, Bruce
Backbone: An R package for extracting the backbone of bipartite projections
title Backbone: An R package for extracting the backbone of bipartite projections
title_full Backbone: An R package for extracting the backbone of bipartite projections
title_fullStr Backbone: An R package for extracting the backbone of bipartite projections
title_full_unstemmed Backbone: An R package for extracting the backbone of bipartite projections
title_short Backbone: An R package for extracting the backbone of bipartite projections
title_sort backbone: an r package for extracting the backbone of bipartite projections
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787471/
https://www.ncbi.nlm.nih.gov/pubmed/33406145
http://dx.doi.org/10.1371/journal.pone.0244363
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