context("closeness")
test_that("closeness works", {
library(igraph)
kite <- graph_from_literal(Andre - Beverly:Carol:Diane:Fernando,
Beverly - Andre:Diane:Ed:Garth,
Carol - Andre:Diane:Fernando,
Diane - Andre:Beverly:Carol:Ed:Fernando:Garth,
Ed - Beverly:Diane:Garth,
Fernando - Andre:Carol:Diane:Garth:Heather,
Garth - Beverly:Diane:Ed:Fernando:Heather,
Heather - Fernando:Garth:Ike,
Ike - Heather:Jane,
Jane - Ike)
clo <- closeness(kite) * (vcount(kite)-1)
expect_that(round(sort(clo, decreasing=TRUE), 3),
equals(c(Fernando=0.643, Garth=0.643, Diane=0.600,
Heather=0.600, Andre=0.529, Beverly=0.529,
Carol=0.500, Ed=0.500, Ike=0.429, Jane=0.310)))
clo2 <- closeness(kite, normalized=TRUE)
expect_that(clo, equals(clo2))
})
## TODO: weighted closeness
test_that("closeness centralization works", {
library(igraph)
kite <- graph_from_literal(Andre - Beverly:Carol:Diane:Fernando,
Beverly - Andre:Diane:Ed:Garth,
Carol - Andre:Diane:Fernando,
Diane - Andre:Beverly:Carol:Ed:Fernando:Garth,
Ed - Beverly:Diane:Garth,
Fernando - Andre:Carol:Diane:Garth:Heather,
Garth - Beverly:Diane:Ed:Fernando:Heather,
Heather - Fernando:Garth:Ike,
Ike - Heather:Jane,
Jane - Ike)
c1 <- closeness(kite, normalized=TRUE)
c2 <- centr_clo(kite)
expect_that(unname(c1), equals(c2$res))
expect_that(c2$centralization, equals(0.270374931581828))
expect_that(c2$theoretical_max, equals(4.23529411764706))
})
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