Before revision: This paper describes how to use the R package backbone for extracting the backbone of a weighted graph. The analysis and visualization of weighted graphs are inherently challenging , and thus it is often of use to only examine edges which are deemed significant.
After revision: 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 , and thus it is often of use to only examine edges which are deemed significant.