Nothing
test_that("assortativity works", {
g <- read_graph(f <- gzfile("celegansneural.gml.gz"), format = "gml")
assR <- function(graph) {
indeg <- degree(graph, mode = "in")
outdeg <- degree(graph, mode = "out")
el <- as_edgelist(graph, names = FALSE)
J <- outdeg[el[, 1]] - 1
K <- indeg[el[, 2]] - 1
num <- sum(J * K) - sum(J) * sum(K) / ecount(graph)
den1 <- sum(J * J) - sum(J)^2 / ecount(graph)
den2 <- sum(K * K) - sum(K)^2 / ecount(graph)
num / sqrt(den1) / sqrt(den2)
}
asd <- assortativity_degree(g)
as <- assortativity(g, degree(g, mode = "out"), degree(g, mode = "in"))
as2 <- assR(g)
expect_that(asd, equals(as))
expect_that(asd, equals(as2))
asu <- assortativity_degree(simplify(as.undirected(g, mode = "collapse")))
expect_that(asu, equals(-0.16319921031570466807))
p <- read_graph(f <- gzfile("power.gml.gz"), format = "gml")
p.asd <- assortativity_degree(p)
p.as <- assortativity(p, degree(p))
p.as2 <- assR(as.directed(p, mode = "mutual"))
expect_that(p.asd, equals(p.as))
expect_that(p.asd, equals(p.as2))
})
test_that("nominal assortativity works", {
o <- read_graph(f <- gzfile("football.gml.gz"), format = "gml")
o <- simplify(o)
an <- assortativity_nominal(o, V(o)$value + 1)
el <- as_edgelist(o, names = FALSE)
etm <- matrix(0, nrow = max(V(o)$value) + 1, ncol = max(V(o)$value) + 1)
for (e in 1:nrow(el)) {
t1 <- V(o)$value[el[e, 1]] + 1
t2 <- V(o)$value[el[e, 2]] + 1
etm[t1, t2] <- etm[t1, t2] + 1
etm[t2, t1] <- etm[t2, t1] + 1
}
etm <- etm / sum(etm)
an2 <- (sum(diag(etm)) - sum(etm %*% etm)) / (1 - sum(etm %*% etm))
expect_that(an, equals(an2))
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.