calculate_jaccard: Calculate jaccard coefficient w.r.t. to a hub differential...
In DCD: Differential Community Detection in Paired Biological Networks

Description Usage Arguments Value Author(s) References Examples

Calculate jaccard coefficients of all nodes w.r.t. a hub differential node which help in formation of approximate block diagonals

1	calculate_jaccard(nodeid, matrix_A, mink)

`nodeid`	Id of the hub differential node
`matrix_A`	Noisy differential topological adjacency matrix
`mink`	Minimum number of neighbours that each node should have in common with hub node to have a non-zero Jaccard co-efficient.

Returns a data-frame with fields: jaccard_coefficient, intersection_length and degree. Here jaccard_coefficient between hub node and every node, intersection_length is number of common nodes and degree represents degree of each node in differential topological matrix.

Raghvendra Mall <rmall@hbku.edu.qa>

\insertRef

Rpack:bibtexRdpack

library(igraph)
mink<-7;
g_A <- sample_grg(200, 0.15, torus=FALSE, coords = FALSE)
A <- get.adjacency(g_A)
nodeid <- 1;

#Calculate Jaccard coefficient of all nodes w.r.t. nodeid 1 given the adjacency matrix A
output <- calculate_jaccard(nodeid,A,mink)