tests/testthat/test-closeness.R

In igraph: Network Analysis and Visualization

test_that("closeness works", {
  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", {
  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))
})