null_score: Calculation of diffusion null scores for each node

In DiffNet: Identifying Significant Node Scores using Network Diffusion Algorithm

Calculation of diffusion null scores for each node

Description

Calculation of diffusion null scores for each node

Usage

null_score(graph, initial.score, damping = 0.7, N.repeat = 10, n.cores = 1)

Arguments

graph	an igraph object with the length of N
initial.score	a named vector of node preferences of length N served as the initial values for diffusion algorithm.
damping	The damping factor of the diffusion algorithm.
N.repeat	number of permutation repeats of null scores.
n.cores	number of cores for parallel processing.

Details

This function calculates the null diffusion score for each node using the personalized page rank algorithm. The initial values are obtained by permuting the given initial.score

Value

a matrix of null diffusion scores (N.repeat—BY—number_of_nodes).

Examples

graph = graph_generation(n.nodes = 10, prob.connection = 0.5)
initial_score = c(rep(0,5),0.2, 0.3, 0, 0, 0.5)
names(initial_score) = igraph::V(graph)
Null = null_score(graph, initial_score)

DiffNet documentation built on Nov. 22, 2023, 5:07 p.m.