briatte/icelandic-legal-code-network.md

## icelandic-legal-code-network.md

      
    Raw
  

              icelandic-legal-code-network.md
            
          
    R code to build the Icelandic legal code by connecting law articles through their cross-references.
The raw data can be loaded in R as an object called net of class network by loading this shortlink:
source("https://goo.gl/q1JFih")
Edges are weighted by the number of (directed) mentions. Nodes are sized by their unweighted degree centrality and colored by their period of introduction into the code.


## icelandic-legal-code-network.r
library(GGally)
library(ggplot2)
library(wesanderson)

library(network)
library(sna)
library(XML)

# ==============================================================================
# RAW DATA  (source: http://www.althingi.is/lagasafn/zip-skra-af-lagasafni/)
# ==============================================================================

root = "icelandic-legal-code.zip"

if (!file.exists(root))
  download.file("http://www.althingi.is/lagasafn/zip/nuna/allt.zip", root, mode = "wb")

list = unzip(root, list = TRUE)
list = list[ grepl("\\d{4}(.*)html$", list$Name), 1 ]

# ==============================================================================
# EDGE LIST (directed, using local filenames as unique identifiers)
# ==============================================================================

data = data.frame()
edges = data.frame()
for (i in rev(list)) {

  x = unz(root, i)
  html = htmlParse(readLines(x), encoding = "UTF-8")
  close(x)

  data = rbind(data, data.frame(title = xpathSApply(html, "//h2[1]", xmlValue),
                                date = xpathSApply(html, "//p[2]", xmlValue),
                                stringsAsFactors = FALSE, row.names = i))

  x = xpathSApply(x, "//a/@href")
  x = x[ grepl("^\\d{4}(.*)html$", html) ]

  if (length(x))
    edges = rbind(edges, data.frame(i = i, j = x,
                                    stringsAsFactors = FALSE, row.names = NULL))

}

edges = subset(edges, i != j)
edges = apply(edges, 1, function(x) paste0(sort(x), collapse = "_"))
edges = as.data.frame(table(edges))
edges = data.frame(i = gsub("(.*)_(.*)", "\\1", edges[, 1]),
                   j = gsub("(.*)_(.*)", "\\2", edges[, 1]),
                   w = edges[, 2])

# ==============================================================================
# NETWORK OBJECT (approx. 845 nodes, 1,531 edges)
# ==============================================================================

n = network(edges[, 1:2 ], directed = TRUE) # directed graph
network.vertex.names(n) = gsub("\\.html", "", network.vertex.names(n))

set.edge.attribute(n, "weight", edges$w) # number of cross-references
n %v% "year" = substr(network.vertex.names(n), 1, 4) # year of legislation

save(data, edges, n, "icelandic-legal-code.rda")

# ==============================================================================
# NETWORK PLOTS
# ==============================================================================

x = cut(n %e% "weight", c(1:4, max(n %e% "weight")), include.lowest = TRUE)
set.edge.attribute(n, "size", as.integer(x))

ggnet(n, size = 0, alpha = 0.5,
      segment.size = n %e% "size",
      segment.color = "grey50",
      segment.alpha = 1/4) +
  geom_point(aes(color = cut_number(degree(n, cmode = "outdegree"), 3)), size = 4, alpha = 3/4) +
  scale_color_manual("degree", values = wes_palette("Zissou")[ c(1, 4, 5)]) +
  theme(legend.key = element_blank(), legend.position = "bottom")

ggsave("net-by-degree.pdf", width = 6, height = 6)
ggsave("net-by-degree.png", width = 6, height = 6)

ggnet(n, size = 0, alpha = 0.5,
      segment.size = n %e% "size",
      segment.color = "grey50",
      segment.alpha = 1/4) +
  geom_point(aes(color = cut_number(as.integer(n %v% "year"), 4)), size = 4) +
  scale_color_manual("period", values = rev(wes_palette("Zissou", 4))) +
  theme(legend.key = element_blank(), legend.position = "bottom")

ggsave("net-by-year.pdf", width = 6, height = 6)
ggsave("net-by-year.png", width = 6, height = 6)

# kthxbye

## network-object.r
net <- structure(list(mel = list(structure(list(inl = 16L, outl = 1L,
    atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 30L, outl = 2L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 67L, outl = 3L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 829L, outl = 3L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 223L, outl = 4L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 594L, outl = 4L, atl = structure(list(na = FALSE, weight = 4L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 43L, outl = 5L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 11L, outl = 6L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 829L, outl = 7L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 144L, outl = 8L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 219L, outl = 8L, atl = structure(list(na = FALSE, weight = 2L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 17L, outl = 9L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 29L, outl = 9L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 47L, outl = 9L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 43L, outl = 10L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 66L, outl = 10L, atl = structure(list(na = FALSE, weight = 1L), .Names = c("na",
    "weight"))), .Names = c("inl", "outl", "atl")), structure(list(
    inl = 829L, outl = 10L, atl = structure(list(na = FALSE,
        weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 627L, outl = 12L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 121L, outl = 13L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 474L, outl = 13L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 595L, outl = 13L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 647L, outl = 13L, atl = structure(list(
    na = FALSE, weight = 2L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 711L, outl = 13L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 827L, outl = 13L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 13L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 60L, outl = 14L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 160L, outl = 14L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 172L, outl = 14L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 426L, outl = 14L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 15L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 18L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 19L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 21L, outl = 20L, atl = structure(list(
    na = FALSE, weight = 2L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 22L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 23L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 24L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 771L, outl = 25L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 25L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 26L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 140L, outl = 27L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 28L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 47L, outl = 29L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 39L, outl = 31L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 340L, outl = 32L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 32L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 41L, outl = 33L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 476L, outl = 34L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 93L, outl = 35L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 36L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 219L, outl = 37L, atl = structure(list(
    na = FALSE, weight = 2L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 477L, outl = 37L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 593L, outl = 37L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 662L, outl = 37L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 676L, outl = 37L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 742L, outl = 37L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 37L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 38L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 86L, outl = 40L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 302L, outl = 40L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 388L, outl = 40L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 542L, outl = 40L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 676L, outl = 40L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 682L, outl = 40L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 776L, outl = 40L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 798L, outl = 40L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 40L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 832L, outl = 40L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 121L, outl = 42L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 43L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 44L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 108L, outl = 45L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 121L, outl = 46L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 46L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 509L, outl = 48L, atl = structure(list(
    na = FALSE, weight = 3L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 48L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 195L, outl = 49L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 287L, outl = 49L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 50L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 51L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 489L, outl = 52L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 52L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 53L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 436L, outl = 54L, atl = structure(list(
    na = FALSE, weight = 4L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 472L, outl = 54L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 55L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 56L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 57L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 690L, outl = 58L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 426L, outl = 59L, atl = structure(list(
    na = FALSE, weight = 2L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 59L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 60L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 773L, outl = 61L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 61L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 256L, outl = 62L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 510L, outl = 62L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 627L, outl = 62L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 684L, outl = 62L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 701L, outl = 62L, atl = structure(list(
    na = FALSE, weight = 4L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 771L, outl = 62L, atl = structure(list(
    na = FALSE, weight = 2L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 773L, outl = 62L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 63L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 78L, outl = 64L, atl = structure(list(
    na = FALSE, weight = 2L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 256L, outl = 64L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 829L, outl = 64L, atl = structure(list(
    na = FALSE, weight = 1L), .Names = c("na", "weight"))), .Names = c("inl",
"outl", "atl")), structure(list(inl = 321L, outl = 65L, atl = structure(list(
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    16L, 3L, integer(0), integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), integer(0), integer(0),
    integer(0), 102L, integer(0), integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), 58L, integer(0), integer(0),
    116L, integer(0), integer(0), integer(0), 48L, integer(0),
    integer(0), integer(0), 117L, integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), integer(0), integer(0),
    167L, integer(0), 71L, integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), integer(0), c(19L, 68L,
    72L, 153L), integer(0), integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), 190L, integer(0), integer(0),
    integer(0), integer(0), integer(0), integer(0), integer(0),
    118L, 119L, integer(0), 40L, integer(0), integer(0), integer(0),
    10L, integer(0), integer(0), integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), integer(0), integer(0),
    integer(0), 260L, integer(0), integer(0), integer(0), 27L,
    c(149L, 219L), integer(0), integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), integer(0), integer(0),
    integer(0), 28L, integer(0), integer(0), integer(0), 183L,
    168L, integer(0), 144L, integer(0), integer(0), integer(0),
    integer(0), 221L, integer(0), integer(0), integer(0), integer(0),
    126L, integer(0), integer(0), integer(0), integer(0), integer(0),
    76L, integer(0), integer(0), integer(0), integer(0), c(253L,
    263L), integer(0), integer(0), integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), 222L, integer(0), integer(0),
    c(150L, 154L), integer(0), integer(0), integer(0), integer(0),
    integer(0), 293L, c(11L, 50L, 264L), integer(0), integer(0),
    integer(0), 5L, integer(0), integer(0), integer(0), integer(0),
    175L, integer(0), integer(0), integer(0), integer(0), 132L,
    integer(0), integer(0), integer(0), c(369L, 371L), integer(0),
    378L, integer(0), integer(0), integer(0), 417L, integer(0),
    integer(0), integer(0), integer(0), 362L, integer(0), integer(0),
    integer(0), integer(0), 326L, 223L, integer(0), c(94L, 103L
    ), integer(0), integer(0), integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), 163L, 141L, 181L, 360L,
    integer(0), integer(0), integer(0), c(269L, 372L, 380L),
    integer(0), integer(0), integer(0), integer(0), 201L, integer(0),
    integer(0), 191L, integer(0), integer(0), integer(0), integer(0),
    integer(0), c(180L, 192L, 317L, 351L), 77L, integer(0), c(178L,
    276L, 330L, 410L), integer(0), integer(0), 343L, integer(0),
    integer(0), 471L, c(413L, 418L, 442L), 227L, integer(0),
    integer(0), integer(0), c(111L, 319L), c(59L, 363L, 538L),
    integer(0), integer(0), c(370L, 441L, 497L), integer(0),
    integer(0), integer(0), integer(0), integer(0), 535L, integer(0),
    integer(0), integer(0), integer(0), integer(0), 392L, c(127L,
    461L, 513L), integer(0), integer(0), 105L, integer(0), 110L,
    560L, integer(0), integer(0), integer(0), integer(0), c(224L,
    320L), c(164L, 419L, 474L, 486L), c(133L, 414L, 498L), integer(0),
    integer(0), integer(0), integer(0), integer(0), integer(0),
    integer(0), c(552L, 665L), c(44L, 690L), integer(0), integer(0),
    integer(0), c(393L, 580L), 479L, integer(0), integer(0),
    integer(0), 352L, integer(0), integer(0), 472L, integer(0),
    integer(0), c(300L, 315L), integer(0), c(261L, 309L), 546L,
    integer(0), integer(0), integer(0), integer(0), integer(0),
    c(381L, 420L), 612L, integer(0), 236L, c(237L, 296L, 373L,
    382L, 545L, 586L), c(561L, 660L), integer(0), integer(0),
    integer(0), integer(0), integer(0), 591L, 766L, integer(0),
    integer(0), 668L, 396L, integer(0), 547L, 270L, integer(0),
    integer(0), integer(0), integer(0), 60L, 271L, 537L, 106L,
    integer(0), c(465L, 575L, 578L), integer(0), c(112L, 587L,
    785L), integer(0), 634L, integer(0), c(297L, 383L, 624L,
    625L, 703L), 658L, integer(0), integer(0), c(142L, 151L,
    364L, 489L), c(143L, 152L, 365L, 861L), integer(0), 259L,
    integer(0), c(683L, 789L), integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), c(239L, 659L, 753L, 829L,
    853L), integer(0), integer(0), c(675L, 754L, 830L, 854L),
    c(399L, 742L, 881L), c(148L, 246L, 258L, 400L, 405L, 506L,
    581L, 676L, 686L, 697L, 767L, 804L, 882L), c(128L, 310L),
    886L, integer(0), integer(0), c(146L, 217L, 366L, 626L, 639L,
    831L), c(29L, 89L, 232L, 265L, 346L, 466L), integer(0), c(421L,
    669L), c(743L, 747L), integer(0), c(165L, 487L, 670L, 790L
    ), c(302L, 374L, 475L), c(277L, 331L, 384L, 499L, 548L, 704L
    ), integer(0), 285L, 83L, c(385L, 539L, 914L), integer(0),
    c(113L, 440L, 609L), integer(0), 640L, integer(0), integer(0),
    c(467L, 901L), 422L, integer(0), 858L, c(332L, 540L, 666L,
    691L, 915L, 927L), c(541L, 588L), c(468L, 791L), 210L, integer(0),
    c(202L, 272L), integer(0), integer(0), 832L, c(398L, 480L
    ), 542L, c(454L, 463L, 514L, 519L, 553L, 556L), integer(0),
    564L, integer(0), integer(0), 344L, 528L, 916L, c(729L, 917L
    ), integer(0), integer(0), 738L, integer(0), 84L, integer(0),
    c(20L, 203L, 228L, 252L, 481L, 493L, 592L, 641L, 807L, 963L
    ), integer(0), 47L, 51L, 928L, integer(0), 1014L, integer(0),
    integer(0), 402L, integer(0), 245L, integer(0), integer(0),
    integer(0), c(80L, 401L), integer(0), integer(0), integer(0),
    integer(0), integer(0), 341L, 796L, 510L, 1008L, c(423L,
    630L, 642L), integer(0), 1020L, integer(0), integer(0), 1028L,
    integer(0), integer(0), c(278L, 786L), integer(0), 74L, c(95L,
    1000L), integer(0), integer(0), 342L, integer(0), 1021L,
    integer(0), c(234L, 687L), c(599L, 739L, 755L, 890L), 797L,
    integer(0), integer(0), integer(0), 941L, integer(0), c(193L,
    243L, 262L, 333L, 359L, 375L, 386L, 443L, 557L, 730L, 968L,
    990L), integer(0), integer(0), c(424L, 643L), 929L, c(316L,
    533L), 847L, integer(0), integer(0), 450L, 451L, 452L, 644L,
    c(225L, 696L), integer(0), integer(0), integer(0), c(61L,
    311L), 425L, integer(0), c(284L, 403L), integer(0), 229L,
    integer(0), integer(0), integer(0), 589L, integer(0), integer(0),
    integer(0), 911L, c(212L, 312L, 339L, 357L, 437L, 482L, 593L,
    596L, 711L, 725L, 733L, 781L, 808L, 867L, 935L, 1001L, 1030L,
    1044L), 645L, integer(0), integer(0), integer(0), integer(0),
    875L, integer(0), c(520L, 600L, 688L, 705L, 734L, 744L, 756L,
    802L, 950L, 1016L, 1085L), c(426L, 565L, 1086L), integer(0),
    integer(0), integer(0), c(211L, 247L, 406L, 582L, 677L, 689L,
    698L, 768L, 805L, 891L, 1139L), integer(0), 918L, 529L, 500L,
    integer(0), integer(0), c(324L, 637L, 1087L), c(627L, 1154L
    ), 1119L, integer(0), integer(0), 549L, 559L, integer(0),
    integer(0), 716L, integer(0), 446L, c(521L, 662L), c(238L,
    292L, 298L, 305L, 387L, 427L, 469L, 478L, 501L, 522L, 566L,
    740L, 745L, 757L, 769L, 787L, 850L, 887L, 904L, 919L, 932L,
    988L, 991L, 994L, 1023L, 1057L, 1112L, 1160L, 1183L, 1190L,
    1196L), integer(0), c(313L, 515L, 567L, 1199L), c(613L, 758L
    ), 52L, c(6L, 129L, 516L, 523L, 706L, 1088L), c(21L, 954L
    ), 358L, integer(0), integer(0), integer(0), 1178L, integer(0),
    c(226L, 635L, 1089L), c(108L, 155L, 204L, 230L, 1075L), c(428L,
    568L), 1002L, integer(0), 879L, integer(0), integer(0), integer(0),
    integer(0), c(707L, 1049L), integer(0), integer(0), integer(0),
    c(614L, 623L), c(708L, 1011L, 1164L, 1165L), integer(0),
    1200L, integer(0), integer(0), integer(0), c(646L, 719L,
    1114L), c(327L, 353L, 824L, 958L), c(139L, 289L, 348L, 483L,
    491L, 628L, 681L, 684L, 726L, 792L, 833L, 868L, 909L, 959L,
    973L, 1118L), integer(0), c(18L, 96L, 186L, 241L, 255L, 397L,
    429L, 444L, 554L, 569L, 601L, 631L, 671L, 794L, 946L, 960L,
    1090L, 1155L, 1162L), 1191L, 884L, integer(0), c(570L, 615L,
    746L, 995L, 1265L), 1201L, integer(0), c(647L, 855L), c(171L,
    834L, 1120L, 1179L, 1259L), integer(0), integer(0), 724L,
    c(611L, 788L), integer(0), integer(0), c(731L, 865L, 920L,
    1197L, 1202L), 543L, integer(0), integer(0), integer(0),
    c(22L, 184L, 231L), 778L, c(336L, 931L, 1006L), 709L, c(835L,
    1121L), 616L, c(648L, 798L, 1263L), c(530L, 617L, 759L),
    c(120L, 532L, 908L, 1005L), c(836L, 1122L), 199L, c(1062L,
    1173L), c(266L, 354L, 470L, 576L, 825L, 859L, 961L, 1167L
    ), 814L, 166L, c(53L, 367L, 1009L), 649L, c(213L, 379L, 806L,
    892L, 1091L), integer(0), c(114L, 458L, 1053L, 1063L, 1290L
    ), 1203L, c(650L, 815L), integer(0), integer(0), 837L, integer(0),
    integer(0), 896L, integer(0), c(54L, 62L, 1311L), c(273L,
    279L, 376L, 969L, 1058L, 1060L, 1171L), c(517L, 1204L), 618L,
    integer(0), integer(0), 63L, integer(0), 97L, integer(0),
    1159L, c(921L, 1205L), integer(0), c(651L, 1082L, 1104L),
    c(88L, 340L, 976L), integer(0), c(674L, 922L), c(136L, 194L,
    502L, 571L, 673L, 923L, 1024L, 1187L, 1206L), c(948L, 1142L
    ), integer(0), integer(0), c(281L, 337L, 1143L), 1061L, integer(0),
    integer(0), c(98L, 115L, 1054L, 1064L, 1349L), integer(0),
    integer(0), integer(0), integer(0), c(205L, 1176L), 321L,
    c(936L, 1065L, 1268L), integer(0), 694L, c(23L, 1048L, 1291L
    ), c(550L, 710L, 866L, 1092L, 1144L, 1279L), integer(0),
    c(997L, 998L, 1007L, 1304L, 1335L), c(717L, 955L, 1305L),
    integer(0), 718L, 783L, 848L, integer(0), c(455L, 979L, 1017L
    ), c(1071L, 1337L, 1361L), c(188L, 287L), 1145L, c(838L,
    1405L), c(512L, 652L, 816L, 839L, 1394L, 1406L), 169L, c(307L,
    1050L, 1123L), integer(0), c(937L, 956L, 1385L), c(862L,
    1224L), 1407L, 1306L, 1207L, c(1037L, 1284L), 905L, c(524L,
    951L, 1208L), c(248L, 407L, 583L, 678L, 699L, 770L, 893L,
    1140L, 1209L), integer(0), integer(0), c(653L, 760L, 817L
    ), 55L, integer(0), integer(0), c(924L, 1210L), c(172L, 430L,
    748L, 1180L, 1272L), 1408L, 1211L, c(761L, 1314L, 1387L),
    1429L, integer(0), 1051L, integer(0), integer(0), 503L, 294L,
    1296L, c(130L, 818L, 1331L, 1362L), c(525L, 762L, 1227L,
    1230L), c(249L, 408L, 431L, 584L, 602L, 679L, 700L, 771L,
    894L, 1141L, 1212L, 1273L, 1324L), 1274L, 1100L, c(898L,
    1146L, 1409L), c(134L, 840L), integer(0), 1354L, integer(0),
    c(841L, 1093L, 1147L), c(195L, 526L, 827L), integer(0), c(37L,
    99L, 206L, 895L, 1003L, 1327L, 1372L, 1388L), 1213L, c(92L,
    100L, 692L, 856L, 1045L, 1066L, 1285L, 1328L, 1373L), integer(0),
    c(819L, 1282L, 1286L, 1382L), c(64L, 654L, 1038L, 1395L),
    938L, c(1067L, 1318L), 619L, integer(0), 842L, integer(0),
    integer(0), integer(0), 432L, integer(0), integer(0), c(267L,
    388L, 504L, 1077L, 1214L), 179L, c(603L, 980L, 1012L, 1148L,
    1251L, 1255L), integer(0), integer(0), c(349L, 655L, 957L
    ), integer(0), integer(0), integer(0), integer(0), c(65L,
    389L, 456L, 749L, 1149L, 1215L, 1443L), c(1094L, 1150L),
    318L, 912L, c(390L, 433L, 851L, 1216L), c(322L, 394L, 438L,
    809L, 939L, 1046L, 1168L, 1174L, 1233L, 1376L, 1479L), integer(0),
    925L, 1101L, integer(0), c(434L, 1346L), integer(0), integer(0),
    c(620L, 656L, 1105L), integer(0), 843L, c(844L, 1124L), 820L,
    1217L, integer(0), c(604L, 981L, 1151L, 1367L, 1476L), c(1043L,
    1235L, 1249L), c(763L, 821L, 1218L, 1462L), c(735L, 1252L
    ), 1135L, 632L, integer(0), c(772L, 1219L, 1451L), c(682L,
    1136L), c(24L, 484L, 494L, 594L, 597L, 712L, 810L, 869L,
    964L, 966L, 1055L, 1068L, 1130L, 1270L, 1316L, 1456L, 1465L,
    1491L), c(439L, 1377L), c(4L, 9L, 17L, 25L, 30L, 31L, 32L,
    34L, 35L, 36L, 38L, 39L, 41L, 45L, 49L, 56L, 57L, 66L, 69L,
    70L, 73L, 75L, 78L, 79L, 81L, 82L, 85L, 86L, 87L, 90L, 91L,
    93L, 101L, 104L, 107L, 109L, 121L, 122L, 123L, 124L, 125L,
    131L, 135L, 137L, 138L, 140L, 145L, 147L, 156L, 157L, 158L,
    159L, 160L, 161L, 162L, 170L, 173L, 174L, 176L, 177L, 182L,
    185L, 187L, 189L, 196L, 197L, 198L, 200L, 207L, 208L, 209L,
    214L, 215L, 216L, 218L, 220L, 233L, 235L, 240L, 242L, 244L,
    254L, 256L, 257L, 268L, 274L, 275L, 280L, 282L, 283L, 286L,
    288L, 290L, 291L, 295L, 299L, 301L, 303L, 304L, 306L, 308L,
    314L, 323L, 325L, 328L, 329L, 334L, 345L, 347L, 350L, 355L,
    356L, 361L, 368L, 377L, 391L, 395L, 404L, 411L, 412L, 415L,
    416L, 435L, 445L, 447L, 448L, 449L, 453L, 457L, 460L, 462L,
    464L, 473L, 476L, 477L, 485L, 488L, 490L, 492L, 495L, 496L,
    505L, 507L, 508L, 509L, 511L, 518L, 527L, 531L, 534L, 536L,
    544L, 551L, 555L, 558L, 562L, 563L, 572L, 573L, 574L, 577L,
    579L, 585L, 590L, 595L, 598L, 605L, 607L, 608L, 610L, 629L,
    633L, 636L, 638L, 657L, 661L, 663L, 664L, 667L, 672L, 680L,
    685L, 693L, 695L, 701L, 702L, 713L, 714L, 715L, 720L, 721L,
    722L, 723L, 727L, 728L, 732L, 736L, 737L, 741L, 750L, 751L,
    752L, 764L, 773L, 775L, 776L, 779L, 780L, 782L, 784L, 793L,
    795L, 799L, 800L, 801L, 803L, 811L, 812L, 813L, 822L, 823L,
    826L, 828L, 845L, 849L, 852L, 857L, 860L, 863L, 864L, 870L,
    872L, 873L, 874L, 876L, 877L, 878L, 880L, 883L, 885L, 888L,
    889L, 897L, 899L, 900L, 902L, 903L, 906L, 907L, 910L, 913L,
    926L, 930L, 933L, 934L, 940L, 942L, 943L, 944L, 945L, 947L,
    949L, 952L, 962L, 965L, 967L, 970L, 971L, 972L, 974L, 975L,
    977L, 978L, 982L, 984L, 985L, 986L, 987L, 989L, 992L, 993L,
    996L, 999L, 1004L, 1010L, 1013L, 1015L, 1018L, 1019L, 1022L,
    1025L, 1026L, 1027L, 1029L, 1031L, 1032L, 1033L, 1034L, 1035L,
    1036L, 1039L, 1040L, 1041L, 1042L, 1047L, 1052L, 1056L, 1059L,
    1069L, 1070L, 1072L, 1073L, 1074L, 1076L, 1078L, 1079L, 1080L,
    1081L, 1083L, 1084L, 1095L, 1096L, 1097L, 1098L, 1099L, 1102L,
    1103L, 1106L, 1107L, 1108L, 1110L, 1111L, 1113L, 1115L, 1116L,
    1117L, 1125L, 1126L, 1127L, 1128L, 1129L, 1131L, 1132L, 1133L,
    1134L, 1137L, 1138L, 1152L, 1156L, 1157L, 1158L, 1161L, 1163L,
    1166L, 1169L, 1170L, 1172L, 1175L, 1177L, 1181L, 1184L, 1186L,
    1188L, 1189L, 1192L, 1193L, 1194L, 1195L, 1198L, 1220L, 1225L,
    1226L, 1228L, 1229L, 1231L, 1232L, 1234L, 1236L, 1237L, 1238L,
    1239L, 1240L, 1241L, 1242L, 1243L, 1244L, 1245L, 1246L, 1248L,
    1250L, 1253L, 1254L, 1256L, 1257L, 1258L, 1260L, 1261L, 1262L,
    1264L, 1266L, 1267L, 1269L, 1271L, 1275L, 1277L, 1278L, 1280L,
    1281L, 1283L, 1287L, 1289L, 1292L, 1293L, 1294L, 1295L, 1297L,
    1298L, 1299L, 1300L, 1301L, 1302L, 1303L, 1307L, 1308L, 1309L,
    1310L, 1312L, 1313L, 1315L, 1317L, 1319L, 1320L, 1321L, 1322L,
    1323L, 1325L, 1326L, 1329L, 1330L, 1332L, 1333L, 1334L, 1336L,
    1338L, 1339L, 1340L, 1341L, 1342L, 1343L, 1344L, 1345L, 1347L,
    1348L, 1350L, 1351L, 1352L, 1353L, 1355L, 1356L, 1357L, 1358L,
    1359L, 1363L, 1365L, 1366L, 1368L, 1369L, 1370L, 1371L, 1374L,
    1375L, 1378L, 1379L, 1380L, 1381L, 1383L, 1384L, 1386L, 1389L,
    1390L, 1391L, 1392L, 1393L, 1396L, 1398L, 1399L, 1400L, 1401L,
    1402L, 1403L, 1404L, 1410L, 1411L, 1412L, 1413L, 1414L, 1415L,
    1416L, 1417L, 1418L, 1419L, 1420L, 1421L, 1422L, 1423L, 1424L,
    1425L, 1426L, 1427L, 1428L, 1431L, 1432L, 1433L, 1434L, 1435L,
    1436L, 1437L, 1438L, 1439L, 1441L, 1442L, 1444L, 1445L, 1446L,
    1447L, 1448L, 1449L, 1450L, 1452L, 1453L, 1457L, 1458L, 1459L,
    1460L, 1461L, 1463L, 1464L, 1466L, 1467L, 1468L, 1469L, 1470L,
    1471L, 1472L, 1473L, 1474L, 1475L, 1477L, 1478L, 1480L, 1481L,
    1482L, 1483L, 1484L, 1485L, 1486L, 1487L, 1488L, 1489L, 1490L,
    1492L, 1493L, 1494L, 1495L, 1496L, 1497L, 1498L, 1499L, 1500L,
    1501L, 1502L, 1503L, 1504L, 1505L, 1506L, 1507L, 1508L, 1509L,
    1511L, 1512L, 1513L, 1514L, 1515L, 1516L, 1517L), c(871L,
    1518L), c(250L, 765L, 1109L, 1182L, 1221L, 1519L), c(67L,
    251L, 777L, 1520L), 1521L, c(335L, 953L, 1153L, 1185L, 1222L,
    1360L, 1364L, 1430L, 1454L, 1455L, 1510L, 1522L), 1523L,
    c(459L, 846L, 1524L), c(409L, 436L, 774L, 1223L, 1276L, 1440L,
    1525L), 1526L, c(338L, 1527L), c(606L, 621L, 983L, 1247L),
    1528L, c(622L, 1288L, 1529L), 1530L, 1531L, 1397L), oel = list(
    1L, 2L, c(4L, 3L), c(6L, 5L), 7L, 8L, 9L, c(11L, 10L), c(14L,
    13L, 12L), c(17L, 16L, 15L), integer(0), 18L, c(25L, 24L,
    23L, 22L, 21L, 20L, 19L), c(29L, 28L, 27L, 26L), 30L, integer(0),
    integer(0), 31L, 32L, 33L, integer(0), 34L, 35L, 36L, c(38L,
    37L), 39L, 40L, 41L, 42L, integer(0), 43L, c(45L, 44L), 46L,
    47L, 48L, 49L, c(56L, 55L, 54L, 53L, 52L, 51L, 50L), 57L,
    integer(0), c(67L, 66L, 65L, 64L, 63L, 62L, 61L, 60L, 59L,
    58L), integer(0), 68L, 69L, 70L, 71L, c(73L, 72L), integer(0),
    c(75L, 74L), c(77L, 76L), 78L, 79L, c(81L, 80L), 82L, c(84L,
    83L), 85L, 86L, 87L, 88L, c(90L, 89L), 91L, c(93L, 92L),
    c(100L, 99L, 98L, 97L, 96L, 95L, 94L), 101L, c(104L, 103L,
    102L), c(107L, 106L, 105L), integer(0), c(109L, 108L), 110L,
    111L, 112L, c(115L, 114L, 113L), c(121L, 120L, 119L, 118L,
    117L, 116L), 122L, 123L, 124L, 125L, c(131L, 130L, 129L,
    128L, 127L, 126L), c(135L, 134L, 133L, 132L), c(137L, 136L
    ), 138L, 139L, 140L, c(143L, 142L, 141L), c(145L, 144L),
    146L, 147L, 148L, 149L, 150L, c(152L, 151L), c(156L, 155L,
    154L, 153L), 157L, 158L, 159L, 160L, 161L, 162L, c(165L,
    164L, 163L), 166L, c(169L, 168L, 167L), 170L, c(173L, 172L,
    171L), 174L, c(176L, 175L), 177L, integer(0), 178L, 179L,
    180L, c(182L, 181L), 183L, 184L, 185L, c(187L, 186L), c(189L,
    188L), 190L, c(196L, 195L, 194L, 193L, 192L, 191L), 197L,
    198L, c(200L, 199L), c(207L, 206L, 205L, 204L, 203L, 202L,
    201L), 208L, 209L, 210L, 211L, 212L, 213L, 214L, integer(0),
    215L, 216L, 217L, 218L, 219L, 220L, c(223L, 222L, 221L),
    c(226L, 225L, 224L), c(231L, 230L, 229L, 228L, 227L), 232L,
    233L, 234L, 235L, c(238L, 237L, 236L), c(240L, 239L), c(242L,
    241L), c(244L, 243L), 245L, c(251L, 250L, 249L, 248L, 247L,
    246L), 252L, c(254L, 253L), c(256L, 255L), 257L, 258L, 259L,
    260L, c(262L, 261L), 263L, 264L, c(267L, 266L, 265L), 268L,
    c(274L, 273L, 272L, 271L, 270L, 269L), 275L, c(280L, 279L,
    278L, 277L, 276L), 281L, 282L, 283L, 284L, c(286L, 285L),
    287L, 288L, c(290L, 289L), 291L, 292L, 293L, 294L, 295L,
    integer(0), c(299L, 298L, 297L, 296L), 300L, 301L, c(303L,
    302L), 304L, 305L, integer(0), 306L, 307L, 308L, 309L, 310L,
    c(312L, 311L), 313L, 314L, 315L, 316L, integer(0), 317L,
    318L, c(320L, 319L), 321L, c(323L, 322L), c(325L, 324L),
    c(328L, 327L, 326L), 329L, c(335L, 334L, 333L, 332L, 331L,
    330L), c(338L, 337L, 336L), c(340L, 339L), c(342L, 341L),
    c(344L, 343L), integer(0), 345L, c(347L, 346L), c(350L, 349L,
    348L), 351L, c(355L, 354L, 353L, 352L), 356L, c(358L, 357L
    ), 359L, c(361L, 360L), c(368L, 367L, 366L, 365L, 364L, 363L,
    362L), 369L, 370L, c(375L, 374L, 373L, 372L, 371L), c(377L,
    376L), 378L, 379L, c(391L, 390L, 389L, 388L, 387L, 386L,
    385L, 384L, 383L, 382L, 381L, 380L), c(395L, 394L, 393L,
    392L), integer(0), c(397L, 396L), 398L, c(400L, 399L), 401L,
    c(404L, 403L, 402L), c(409L, 408L, 407L, 406L, 405L), c(411L,
    410L), 412L, c(415L, 414L, 413L), 416L, c(436L, 435L, 434L,
    433L, 432L, 431L, 430L, 429L, 428L, 427L, 426L, 425L, 424L,
    423L, 422L, 421L, 420L, 419L, 418L, 417L), c(439L, 438L,
    437L), 440L, 441L, c(445L, 444L, 443L, 442L), 446L, 447L,
    448L, 449L, integer(0), c(452L, 451L, 450L), 453L, c(457L,
    456L, 455L, 454L), c(459L, 458L), integer(0), integer(0),
    460L, c(462L, 461L), c(464L, 463L), c(470L, 469L, 468L, 467L,
    466L, 465L), c(473L, 472L, 471L), 474L, c(476L, 475L), 477L,
    478L, c(485L, 484L, 483L, 482L, 481L, 480L, 479L), c(488L,
    487L, 486L), c(490L, 489L), integer(0), c(492L, 491L), c(495L,
    494L, 493L), 496L, 497L, c(505L, 504L, 503L, 502L, 501L,
    500L, 499L, 498L), 506L, 507L, 508L, 509L, c(511L, 510L),
    512L, c(518L, 517L, 516L, 515L, 514L, 513L), c(527L, 526L,
    525L, 524L, 523L, 522L, 521L, 520L, 519L), c(531L, 530L,
    529L, 528L), 532L, c(534L, 533L), c(536L, 535L), 537L, c(544L,
    543L, 542L, 541L, 540L, 539L, 538L), integer(0), 545L, c(551L,
    550L, 549L, 548L, 547L, 546L), c(555L, 554L, 553L, 552L),
    c(558L, 557L, 556L), integer(0), 559L, c(562L, 561L, 560L
    ), 563L, c(572L, 571L, 570L, 569L, 568L, 567L, 566L, 565L,
    564L), 573L, 574L, c(577L, 576L, 575L), c(579L, 578L), c(585L,
    584L, 583L, 582L, 581L, 580L), c(590L, 589L, 588L, 587L,
    586L), c(595L, 594L, 593L, 592L, 591L), c(598L, 597L, 596L
    ), c(606L, 605L, 604L, 603L, 602L, 601L, 600L, 599L), 607L,
    608L, 609L, 610L, 611L, c(622L, 621L, 620L, 619L, 618L, 617L,
    616L, 615L, 614L, 613L, 612L), 623L, 624L, 625L, 626L, c(629L,
    628L, 627L), c(633L, 632L, 631L, 630L), c(636L, 635L, 634L
    ), 637L, 638L, c(657L, 656L, 655L, 654L, 653L, 652L, 651L,
    650L, 649L, 648L, 647L, 646L, 645L, 644L, 643L, 642L, 641L,
    640L, 639L), c(659L, 658L), integer(0), integer(0), c(661L,
    660L), 662L, 663L, 664L, c(667L, 666L, 665L), c(672L, 671L,
    670L, 669L, 668L), 673L, 674L, 675L, c(679L, 678L, 677L,
    676L), 680L, c(682L, 681L), c(685L, 684L, 683L), c(689L,
    688L, 687L, 686L), c(693L, 692L, 691L, 690L), c(695L, 694L
    ), 696L, c(701L, 700L, 699L, 698L, 697L), 702L, c(710L, 709L,
    708L, 707L, 706L, 705L, 704L, 703L), c(713L, 712L, 711L),
    714L, 715L, c(718L, 717L, 716L), integer(0), c(720L, 719L
    ), 721L, 722L, 723L, 724L, c(727L, 726L, 725L), 728L, c(732L,
    731L, 730L, 729L), c(734L, 733L), 735L, 736L, 737L, c(741L,
    740L, 739L, 738L), c(746L, 745L, 744L, 743L, 742L), c(750L,
    749L, 748L, 747L), 751L, 752L, c(765L, 764L, 763L, 762L,
    761L, 760L, 759L, 758L, 757L, 756L, 755L, 754L, 753L), c(774L,
    773L, 772L, 771L, 770L, 769L, 768L, 767L, 766L), 775L, 776L,
    777L, 778L, 779L, 780L, c(782L, 781L), 783L, 784L, c(788L,
    787L, 786L, 785L), c(793L, 792L, 791L, 790L, 789L), c(795L,
    794L), c(799L, 798L, 797L, 796L), 800L, integer(0), 801L,
    802L, 803L, c(806L, 805L, 804L), c(811L, 810L, 809L, 808L,
    807L), 812L, 813L, c(822L, 821L, 820L, 819L, 818L, 817L,
    816L, 815L, 814L), 823L, c(826L, 825L, 824L), c(828L, 827L
    ), c(846L, 845L, 844L, 843L, 842L, 841L, 840L, 839L, 838L,
    837L, 836L, 835L, 834L, 833L, 832L, 831L, 830L, 829L), c(848L,
    847L), integer(0), 849L, c(852L, 851L, 850L), c(854L, 853L
    ), c(857L, 856L, 855L), c(860L, 859L, 858L), c(863L, 862L,
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    867L), 871L, 872L, 873L, 874L, c(876L, 875L), 877L, 878L,
    879L, 880L, c(883L, 882L, 881L), c(885L, 884L), c(888L, 887L,
    886L), 889L, c(895L, 894L, 893L, 892L, 891L, 890L), c(897L,
    896L), c(899L, 898L), 900L, c(902L, 901L), 903L, c(906L,
    905L, 904L), 907L, 908L, c(910L, 909L), c(913L, 912L, 911L
    ), c(926L, 925L, 924L, 923L, 922L, 921L, 920L, 919L, 918L,
    917L, 916L, 915L, 914L), c(930L, 929L, 928L, 927L), 931L,
    integer(0), c(933L, 932L), 934L, c(940L, 939L, 938L, 937L,
    936L, 935L), 941L, 942L, 943L, 944L, 945L, c(947L, 946L),
    948L, 949L, c(953L, 952L, 951L, 950L), c(957L, 956L, 955L,
    954L), c(962L, 961L, 960L, 959L, 958L), c(965L, 964L, 963L
    ), c(967L, 966L), c(970L, 969L, 968L), 971L, 972L, c(974L,
    973L), 975L, c(977L, 976L), 978L, c(983L, 982L, 981L, 980L,
    979L), 984L, 985L, 986L, integer(0), 987L, c(989L, 988L),
    c(992L, 991L, 990L), 993L, 994L, c(996L, 995L), 997L, 998L,
    999L, c(1004L, 1003L, 1002L, 1001L, 1000L), 1005L, c(1007L,
    1006L), c(1010L, 1009L, 1008L), c(1013L, 1012L, 1011L), c(1015L,
    1014L), c(1018L, 1017L, 1016L), 1019L, c(1021L, 1020L), 1022L,
    c(1025L, 1024L, 1023L), 1026L, 1027L, c(1029L, 1028L), c(1031L,
    1030L), 1032L, 1033L, 1034L, 1035L, 1036L, 1037L, 1038L,
    1039L, 1040L, 1041L, 1042L, 1043L, integer(0), c(1047L, 1046L,
    1045L, 1044L), 1048L, c(1052L, 1051L, 1050L, 1049L), c(1054L,
    1053L), c(1056L, 1055L), c(1059L, 1058L, 1057L), c(1061L,
    1060L), integer(0), c(1069L, 1068L, 1067L, 1066L, 1065L,
    1064L, 1063L, 1062L), 1070L, c(1072L, 1071L), integer(0),
    1073L, integer(0), 1074L, c(1076L, 1075L), c(1078L, 1077L
    ), 1079L, 1080L, 1081L, c(1083L, 1082L), integer(0), 1084L,
    c(1095L, 1094L, 1093L, 1092L, 1091L, 1090L, 1089L, 1088L,
    1087L, 1086L, 1085L), 1096L, 1097L, 1098L, integer(0), 1099L,
    c(1102L, 1101L, 1100L), 1103L, 1104L, 1105L, integer(0),
    integer(0), 1106L, 1107L, 1108L, 1109L, 1110L, 1111L, c(1113L,
    1112L), c(1115L, 1114L), integer(0), 1116L, integer(0), 1117L,
    1118L, 1119L, c(1125L, 1124L, 1123L, 1122L, 1121L, 1120L),
    1126L, 1127L, 1128L, 1129L, c(1131L, 1130L), 1132L, 1133L,
    1134L, c(1136L, 1135L), 1137L, 1138L, c(1141L, 1140L, 1139L
    ), c(1153L, 1152L, 1151L, 1150L, 1149L, 1148L, 1147L, 1146L,
    1145L, 1144L, 1143L, 1142L), c(1156L, 1155L, 1154L), 1157L,
    1158L, 1159L, c(1161L, 1160L), c(1163L, 1162L), 1164L, 1165L,
    1166L, c(1169L, 1168L, 1167L), 1170L, c(1172L, 1171L), c(1175L,
    1174L, 1173L), c(1177L, 1176L), c(1182L, 1181L, 1180L, 1179L,
    1178L), c(1185L, 1184L, 1183L), 1186L, c(1188L, 1187L), 1189L,
    c(1192L, 1191L, 1190L), 1193L, 1194L, 1195L, c(1198L, 1197L,
    1196L), c(1223L, 1222L, 1221L, 1220L, 1219L, 1218L, 1217L,
    1216L, 1215L, 1214L, 1213L, 1212L, 1211L, 1210L, 1209L, 1208L,
    1207L, 1206L, 1205L, 1204L, 1203L, 1202L, 1201L, 1200L, 1199L
    ), c(1225L, 1224L), 1226L, c(1228L, 1227L), 1229L, c(1231L,
    1230L), 1232L, c(1234L, 1233L), 1235L, 1236L, 1237L, 1238L,
    1239L, 1240L, 1241L, 1242L, 1243L, 1244L, 1245L, 1246L, 1247L,
    1248L, 1249L, 1250L, c(1252L, 1251L), 1253L, 1254L, c(1256L,
    1255L), 1257L, 1258L, c(1260L, 1259L), 1261L, 1262L, c(1264L,
    1263L), c(1266L, 1265L), 1267L, c(1269L, 1268L), c(1271L,
    1270L), c(1276L, 1275L, 1274L, 1273L, 1272L), 1277L, integer(0),
    1278L, c(1280L, 1279L), 1281L, c(1283L, 1282L), c(1288L,
    1287L, 1286L, 1285L, 1284L), 1289L, c(1291L, 1290L), 1292L,
    integer(0), 1293L, 1294L, 1295L, c(1297L, 1296L), 1298L,
    1299L, 1300L, 1301L, 1302L, 1303L, c(1307L, 1306L, 1305L,
    1304L), 1308L, 1309L, integer(0), 1310L, c(1312L, 1311L),
    1313L, c(1315L, 1314L), c(1317L, 1316L), c(1319L, 1318L),
    1320L, integer(0), 1321L, 1322L, 1323L, c(1325L, 1324L),
    1326L, c(1329L, 1328L, 1327L), 1330L, c(1332L, 1331L), 1333L,
    1334L, 1335L, 1336L, c(1338L, 1337L), 1339L, 1340L, 1341L,
    1342L, 1343L, 1344L, 1345L, 1346L, 1347L, 1348L, c(1350L,
    1349L), 1351L, 1352L, 1353L, c(1355L, 1354L), 1356L, 1357L,
    1358L, c(1360L, 1359L), c(1364L, 1363L, 1362L, 1361L), 1365L,
    1366L, 1367L, 1368L, 1369L, 1370L, 1371L, c(1374L, 1373L,
    1372L), 1375L, c(1377L, 1376L), 1378L, 1379L, 1380L, 1381L,
    c(1383L, 1382L), 1384L, c(1386L, 1385L), c(1389L, 1388L,
    1387L), 1390L, 1391L, 1392L, 1393L, c(1397L, 1396L, 1395L,
    1394L), 1398L, 1399L, 1400L, 1401L, 1402L, 1403L, 1404L,
    c(1410L, 1409L, 1408L, 1407L, 1406L, 1405L), 1411L, 1412L,
    1413L, 1414L, 1415L, 1416L, integer(0), 1417L, 1418L, 1419L,
    1420L, 1421L, 1422L, 1423L, 1424L, 1425L, 1426L, 1427L, 1428L,
    1429L, 1430L, 1431L, 1432L, 1433L, 1434L, integer(0), 1435L,
    1436L, 1437L, 1438L, c(1440L, 1439L), integer(0), 1441L,
    1442L, c(1444L, 1443L), 1445L, 1446L, 1447L, integer(0),
    1448L, 1449L, 1450L, 1451L, 1452L, c(1454L, 1453L), 1455L,
    c(1457L, 1456L), 1458L, 1459L, 1460L, 1461L, c(1463L, 1462L
    ), 1464L, c(1466L, 1465L), 1467L, 1468L, integer(0), 1469L,
    1470L, 1471L, 1472L, 1473L, 1474L, 1475L, integer(0), c(1477L,
    1476L), 1478L, c(1480L, 1479L), 1481L, 1482L, 1483L, 1484L,
    1485L, 1486L, 1487L, 1488L, 1489L, 1490L, c(1492L, 1491L),
    1493L, 1494L, 1495L, 1496L, 1497L, 1498L, 1499L, 1500L, 1501L,
    1502L, 1503L, 1504L, 1505L, 1506L, integer(0), 1507L, 1508L,
    c(1510L, 1509L), 1511L, 1512L, 1513L, 1514L, 1515L, 1516L,
    1517L, c(1531L, 1530L, 1529L, 1528L, 1527L, 1526L, 1525L,
    1524L, 1523L, 1522L, 1521L, 1520L, 1519L, 1518L), integer(0),
    integer(0), integer(0), integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), integer(0), integer(0),
    integer(0), integer(0), integer(0), integer(0), integer(0))), .Names = c("mel",
"gal", "val", "iel", "oel"), class = "network")
	library(GGally)
	library(ggplot2)
	library(wesanderson)

	library(network)
	library(sna)
	library(XML)

	# ==============================================================================
	# RAW DATA (source: http://www.althingi.is/lagasafn/zip-skra-af-lagasafni/)
	# ==============================================================================

	root = "icelandic-legal-code.zip"

	if (!file.exists(root))
	download.file("http://www.althingi.is/lagasafn/zip/nuna/allt.zip", root, mode = "wb")

	list = unzip(root, list = TRUE)
	list = list[ grepl("\\d{4}(.*)html$", list$Name), 1 ]

	# ==============================================================================
	# EDGE LIST (directed, using local filenames as unique identifiers)
	# ==============================================================================

	data = data.frame()
	edges = data.frame()
	for (i in rev(list)) {

	x = unz(root, i)
	html = htmlParse(readLines(x), encoding = "UTF-8")
	close(x)

	data = rbind(data, data.frame(title = xpathSApply(html, "//h2[1]", xmlValue),
	date = xpathSApply(html, "//p[2]", xmlValue),
	stringsAsFactors = FALSE, row.names = i))

	x = xpathSApply(x, "//a/@href")
	x = x[ grepl("^\\d{4}(.*)html$", html) ]

	if (length(x))
	edges = rbind(edges, data.frame(i = i, j = x,
	stringsAsFactors = FALSE, row.names = NULL))

	}

	edges = subset(edges, i != j)
	edges = apply(edges, 1, function(x) paste0(sort(x), collapse = "_"))
	edges = as.data.frame(table(edges))
	edges = data.frame(i = gsub("(.)_(.)", "\\1", edges[, 1]),
	j = gsub("(.)_(.)", "\\2", edges[, 1]),
	w = edges[, 2])

	# ==============================================================================
	# NETWORK OBJECT (approx. 845 nodes, 1,531 edges)
	# ==============================================================================

	n = network(edges[, 1:2 ], directed = TRUE) # directed graph
	network.vertex.names(n) = gsub("\\.html", "", network.vertex.names(n))

	set.edge.attribute(n, "weight", edges$w) # number of cross-references
	n %v% "year" = substr(network.vertex.names(n), 1, 4) # year of legislation

	save(data, edges, n, "icelandic-legal-code.rda")

	# ==============================================================================
	# NETWORK PLOTS
	# ==============================================================================

	x = cut(n %e% "weight", c(1:4, max(n %e% "weight")), include.lowest = TRUE)
	set.edge.attribute(n, "size", as.integer(x))

	ggnet(n, size = 0, alpha = 0.5,
	segment.size = n %e% "size",
	segment.color = "grey50",
	segment.alpha = 1/4) +
	geom_point(aes(color = cut_number(degree(n, cmode = "outdegree"), 3)), size = 4, alpha = 3/4) +
	scale_color_manual("degree", values = wes_palette("Zissou")[ c(1, 4, 5)]) +
	theme(legend.key = element_blank(), legend.position = "bottom")

	ggsave("net-by-degree.pdf", width = 6, height = 6)
	ggsave("net-by-degree.png", width = 6, height = 6)

	ggnet(n, size = 0, alpha = 0.5,
	segment.size = n %e% "size",
	segment.color = "grey50",
	segment.alpha = 1/4) +
	geom_point(aes(color = cut_number(as.integer(n %v% "year"), 4)), size = 4) +
	scale_color_manual("period", values = rev(wes_palette("Zissou", 4))) +
	theme(legend.key = element_blank(), legend.position = "bottom")

	ggsave("net-by-year.pdf", width = 6, height = 6)
	ggsave("net-by-year.png", width = 6, height = 6)

	# kthxbye