get.biWeightedProjection: Projecting Bipartite Networks.

In abhik1368/netpredictor: Algorithms to search for missing link in a graph.

Description

Projecting the Bipartite Network based on the vertex type (TRUE or FALSE).The mode "shared-neighbours" adds the number of shared neighbours in the bipartite graph to the edge linking two neighbours in the monopartite projection. "newman" adopts the weighting scheme presented by Newman (2001), that weighs the contributions of shared neighbours by the size of their linkage profiles minus one.

Usage

get.biWeightedProjection(A,vertex=FALSE,mode='shared-neighbours')

Arguments

A	Biparite matrix object
vertex	Either TRUE of FALSE where if FALSE then off-diagonal elements represent edge weights, diagonal elements vertex weights
mode	'shared-neighbours' and 'newman'

Details

Projecting Bipartite Networks

Value

Returns a igraph object of the projected matrix with edge weights.

References

• Newman M (2001) Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. Physical Review E 64.

abhik1368/netpredictor documentation built on May 10, 2019, 4:09 a.m.