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

被引:21
作者
Domagalski, Rachel [1 ]
Neal, Zachary P. [2 ]
Sagan, Bruce [1 ]
机构
[1] Michigan State Univ, Dept Math, E Lansing, MI 48824 USA
[2] Michigan State Univ, Dept Psychol, E Lansing, MI 48824 USA
基金
美国国家科学基金会;
关键词
NETWORK; MATRICES;
D O I
10.1371/journal.pone.0244363
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:20
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