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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0244363 |
| _version_ | 1818719290906378240 |
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| author | Rachel Domagalski Zachary P Neal Bruce Sagan |
| author_facet | Rachel Domagalski Zachary P Neal Bruce Sagan |
| author_sort | Rachel Domagalski |
| collection | DOAJ |
| 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 114th session of the United States Senate to demonstrate its functionality. |
| first_indexed | 2024-12-17T20:04:36Z |
| format | Article |
| id | doaj.art-ab1e2127b447455c88645ef5d9f4f24d |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-17T20:04:36Z |
| publishDate | 2021-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-ab1e2127b447455c88645ef5d9f4f24d2022-12-21T21:34:22ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01161e024436310.1371/journal.pone.0244363Backbone: An R package for extracting the backbone of bipartite projections.Rachel DomagalskiZachary P NealBruce SaganBipartite 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 114th session of the United States Senate to demonstrate its functionality.https://doi.org/10.1371/journal.pone.0244363 |
| spellingShingle | Rachel Domagalski Zachary P Neal Bruce Sagan Backbone: An R package for extracting the backbone of bipartite projections. PLoS ONE |
| 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 |
| url | https://doi.org/10.1371/journal.pone.0244363 |
| work_keys_str_mv | AT racheldomagalski backboneanrpackageforextractingthebackboneofbipartiteprojections AT zacharypneal backboneanrpackageforextractingthebackboneofbipartiteprojections AT brucesagan backboneanrpackageforextractingthebackboneofbipartiteprojections |