Learn R Programming

loop (version 1.1)

node.similarity: calculate pair similarity of nodes based on the nodes' similarity which have links with the focused pair of nodes

Description

The pair similarity of nodes is defined as the exterior nodes shared by both focused nodes (i.e., there must be links between the focused nodes and the exterior nodes)

Usage

node.similarity(gemat, type = "both", metric = "jaccard")

Arguments

gemat
standard square graph matrix
type
if type="both", the node similarity is calculated based on the the vertex similarity from the inward/outward links for each pair of nodes. if type="in", the node similarity is calculated based on the the vertex similarity from the inward links for each pair of nodes. if type="out", the node similarity is calculated based on the the vertex similarity from the outward links for each pair of nodes.
metric
node similarity methods, currently supporting two basic similarity indices: "jaccard" and "sorensen".

Value

will return a symmetric similarity matrices

References

Chen Y (2012) loop: an R package for performing decomposition of weighted directed graphs, food web analysis and flexible network plotting. Submitted.

See Also

nmds.ordination

Examples

Run this code
mat=matrix(c(0,5,3,7,0,5,0,0,0,4,3,8,0,1,0,7,0,1,0,0,0,4,6,2,0),5,5)
#compare the differences for each type of links
node.similarity(gemat=mat,type="in")
node.similarity(gemat=mat,type="out")
node.similarity(gemat=mat,type="both")

Run the code above in your browser using DataLab