Nothing

```
context("build centrality indices")
library(igraph)
library(magrittr)
library(Matrix)
test_that("betweenness correct", {
g <- graph.empty(n = 11, directed = FALSE)
g <- add_edges(g, c(
1, 11, 2, 4, 3, 5, 3, 11, 4, 8, 5, 9, 5, 11, 6, 7, 6, 8,
6, 10, 6, 11, 7, 9, 7, 10, 7, 11, 8, 9, 8, 10, 9, 10
))
bc <- g %>%
indirect_relations("depend_sp") %>%
aggregate_positions()
expect_equal(round(bc / 2, 4), round(betweenness(g), 4))
})
test_that("closeness correct", {
g <- graph.empty(n = 11, directed = FALSE)
g <- add_edges(g, c(
1, 11, 2, 4, 3, 5, 3, 11, 4, 8, 5, 9, 5, 11, 6, 7, 6, 8,
6, 10, 6, 11, 7, 9, 7, 10, 7, 11, 8, 9, 8, 10, 9, 10
))
cc <- g %>%
indirect_relations("dist_sp") %>%
aggregate_positions(type = "invsum")
expect_equal(round(cc, 4), round(closeness(g), 4))
})
test_that("evcent correct", {
g <- graph.empty(n = 11, directed = FALSE)
g <- add_edges(g, c(
1, 11, 2, 4, 3, 5, 3, 11, 4, 8, 5, 9, 5, 11, 6, 7, 6, 8,
6, 10, 6, 11, 7, 9, 7, 10, 7, 11, 8, 9, 8, 10, 9, 10
))
ec <- g %>%
indirect_relations("walks", FUN = walks_limit_prop) %>%
aggregate_positions(type = "sum")
expect_equal(round(ec / max(ec), 4), round(evcent(g)$vector, 4))
})
test_that("subgraph centrality correct", {
g <- graph.empty(n = 11, directed = FALSE)
g <- add_edges(g, c(
1, 11, 2, 4, 3, 5, 3, 11, 4, 8, 5, 9, 5, 11, 6, 7, 6, 8,
6, 10, 6, 11, 7, 9, 7, 10, 7, 11, 8, 9, 8, 10, 9, 10
))
sc <- g %>%
indirect_relations("walks", FUN = walks_exp) %>%
aggregate_positions(type = "self") %>%
round(4)
expect_equal(sc, round(subgraph_centrality(g), 4))
})
test_that("current flow betweenness correct", {
g <- graph.empty(n = 11, directed = FALSE)
g <- add_edges(g, c(1, 2, 1, 3, 1, 4, 1, 5, 2, 3, 2, 4, 2, 5, 3, 4, 3, 5, 4, 5))
g <- add_edges(g, c(1, 2, 1, 3, 1, 4, 1, 5, 2, 3, 2, 4, 2, 5, 3, 4, 3, 5, 4, 5) + 5)
g <- add_edges(g, c(5, 11, 6, 11, 5, 6))
n <- vcount(g)
cent <-
(indirect_relations(g, type = "depend_curflow", FUN = identity) + diag(n * (n - 1), 11)) %>%
aggregate_positions(type = "sum")
exact <- c(0.6703, 0.6703, 0.3333, 0.2691, 0.2691) # A,B,C,X,Y from Newman Paper
expect_equal(round(cent[c(5, 6, 11, 1, 7)] / (11 * 10) - 9 / 11, 4), exact)
})
test_that("flow betweenness correct", {
g <- graph.empty(n = 11, directed = FALSE)
g <- add_edges(g, c(1, 2, 1, 3, 1, 4, 1, 5, 2, 3, 2, 4, 2, 5, 3, 4, 3, 5, 4, 5))
g <- add_edges(g, c(1, 2, 1, 3, 1, 4, 1, 5, 2, 3, 2, 4, 2, 5, 3, 4, 3, 5, 4, 5) + 5)
g <- add_edges(g, c(5, 11, 6, 11, 5, 6))
n <- vcount(g)
exact <- c(12, 12, 12, 12, 118, 118, 12, 12, 12, 12, 50)
cent <- g %>%
indirect_relations(type = "depend_netflow", netflowmode = "raw", FUN = identity) %>%
aggregate_positions(type = "sum")
expect_equal(cent, exact)
})
test_that("communicability betweenness correct", {
g <- graph.empty(n = 11, directed = FALSE)
g <- add_edges(g, c(1, 2, 1, 3, 1, 4, 1, 5, 2, 3, 2, 4, 2, 5, 3, 4, 3, 5, 4, 5))
g <- add_edges(g, c(1, 2, 1, 3, 1, 4, 1, 5, 2, 3, 2, 4, 2, 5, 3, 4, 3, 5, 4, 5) + 5)
g <- add_edges(g, c(5, 11, 6, 11, 5, 6))
n <- vcount(g)
exact <- c(
0.2156, 0.2156, 0.2156, 0.2156, 0.6574, 0.6574, 0.2156, 0.2156,
0.2156, 0.2156, 0.1396
)
cent <- g %>%
indirect_relations(type = "depend_exp", FUN = identity) %>%
aggregate_positions(type = "sum")
expect_equal(round(cent, 4), exact)
})
test_that("all aggregate functions work", {
tau_x <- matrix(c(1, 2, 3, 4), 2, 2, byrow = TRUE)
expect_equal(aggregate_positions(tau_x, type = "prod"), c(2, 12))
expect_equal(aggregate_positions(tau_x, type = "mean"), c(1.5, 3.5))
expect_equal(aggregate_positions(tau_x, type = "max"), c(2, 4))
expect_equal(aggregate_positions(tau_x, type = "min"), c(1, 3))
expect_error(aggregate_positions(tau_x, type = "other"))
})
```

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