| Literature DB >> 33406145 |
Rachel Domagalski1, Zachary P Neal2, Bruce Sagan1.
Abstract
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.Entities:
Mesh:
Year: 2021 PMID: 33406145 PMCID: PMC7787471 DOI: 10.1371/journal.pone.0244363
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240