Department of Mathematics, Michigan State University, East Lansing, Michigan, United States of America.
Department of Psychology, Michigan State University, East Lansing, Michigan, United States of America.
PLoS One. 2021 Jan 6;16(1):e0244363. doi: 10.1371/journal.pone.0244363. eCollection 2021.
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.
二分投影在广泛的网络环境中都有应用，包括政治（法案共同提案）、遗传学（基因共同表达）、经济学（董事会共同成员）和创新（专利共同作者）。然而，由于二分投影总是加权图，因此分析和可视化它们具有挑战性，因此通常需要检查“骨干”，即仅包含最重要边的无权重子图。在本文中，我们介绍了 R 包 backbone，用于提取加权二分投影的骨干，并用第 114 届美国参议院的法案赞助数据来演示其功能。
