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Title: 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 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.  more » « less
Award ID(s):
1851625
NSF-PAR ID:
10253720
Author(s) / Creator(s):
; ;
Editor(s):
Rozenblat, Celine
Date Published:
Journal Name:
PLOS ONE
Volume:
16
Issue:
1
ISSN:
1932-6203
Page Range / eLocation ID:
e0244363
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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