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Compute a pairwise adjacency matrix for multiple graphs

Source: R/spatial_weights.R
pairwise_adjacency.Rd

This function computes a pairwise adjacency matrix for multiple graphs with a given set of spatial coordinates and feature vectors. The function takes two user-defined functions to compute within-graph and between-graph similarity measures.

Usage

pairwise_adjacency(Xcoords, Xfeats, fself, fbetween)

Arguments

Xcoords

A list of numeric matrices or data.frames containing the spatial coordinates of the nodes of each graph.

Xfeats

A list of numeric matrices or data.frames containing the feature vectors for the nodes of each graph.

fself

A function that computes similarity for nodes within the same graph (e.g., Xi_1, Xi_2).

fbetween

A function that computes similarity for nodes across graphs (e.g., Xi_1, Xj_1).

Value

A sparse matrix representing the pairwise adjacency matrix for the input graphs.

Examples

coords <- list(matrix(c(0,0,1,0), ncol=2, byrow=TRUE),
               matrix(c(0,1,1,1), ncol=2, byrow=TRUE))
feats  <- list(matrix(rnorm(2), ncol=1),
               matrix(rnorm(2), ncol=1))
fself <- function(c,f) spatial_adjacency(c, normalized=FALSE, include_diagonal=FALSE)
fbetween <- function(c1,c2,f1,f2) cross_spatial_adjacency(c1,c2, normalized=FALSE)
M <- pairwise_adjacency(coords, feats, fself, fbetween)
dim(M)
#> [1] 4 4