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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-7787471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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