mnda_node_distance {mnda}

Detecting the nodes whose local neighbors change between the two conditions for ISNs.

Description

Detecting the nodes whose local neighbors change between the two conditions for ISNs.

Usage

mnda_node_distance(embeddingSpaceList)

Arguments

embeddingSpaceList

a list obtained by the mnda_embedding_2layer() function.

Details

Calculating the distance of node pairs in the embedding space and check their significance. To find the significantly varying nodes in the 2-layer-network, the distance between the corresponding nodes are calculated along with the null distribution. The null distribution is obtained based on the pairwise distances on null graphs. if in mnda_embedding_2layer function null.perm=FALSE, the multiplex network does not have the two randomly permuted graphs, thus the distances between all the nodes will be used for the null distribution.

Value

the distances for each repeat

Examples

myNet = network_gen(N_nodes = 50, N_var_nodes = 5, N_var_nei = 40, noise_sd = .01)
graph_data = myNet[["data_graph"]]
embeddingSpaceList = mnda_embedding(graph.data=graph_data, outcome=c(1,2),
indv.index=c(1,1), train.rep=2, random.walk=FALSE)
Dist = mnda_node_distance(embeddingSpaceList)