corenet: Tools for Network Analysis

# library(tidyverse)
# 
# target_url <- "http://vlado.fmf.uni-lj.si/pub/networks/data/WaFa/Padgett.paj"
# 
# temp_file <- tempfile()
# download.file(target_url, destfile = temp_file)
# 
# raw <- read_lines(temp_file)
# 
# # vertex attributes
# vert_names_start <- str_which(raw, "\\*Vertices\\s+16")[[1]] + 1
# vert_names_end <- str_which(raw, '\\*Arcs :1 "Business"') - 1
# 
# vert_names <- raw[vert_names_start:vert_names_end] %>%
#   tibble(value = .) %>% 
#   filter(nchar(value) > 0L) %>% 
#   separate(value, c(".vrt_id", "name", "coords"), sep = "\"") %>% 
#   select(-coords) %>% 
#   mutate_all(str_trim) %>% 
#   mutate(.vrt_id = as.integer(.vrt_id))
# 
# vert_wealth_start <- str_which(raw, '\\*Vertices\\s+16')[[2]] + 1
# vert_wealth_end <- str_which(raw, '\\*Vector #Priors') - 1
# 
# vert_wealth <- raw[vert_wealth_start:vert_wealth_end] %>%
#   as_tibble() %>% 
#   filter(nchar(value) > 0L) %>% 
#   mutate(value = value %>% 
#            str_trim() %>% 
#            as.integer()
#   ) %>% 
#   rename(wealth = value)
# 
# vert_prior_start <- str_which(raw, '\\*Vertices\\s+16')[[3]] + 1
# vert_prior_end <- str_which(raw, '\\*Vector #Ties') - 1
# 
# vert_priors <- raw[vert_prior_start:vert_prior_end] %>%
#   as_tibble() %>% 
#   filter(nchar(value) > 0L) %>% 
#   mutate(value = value %>% 
#            str_trim() %>% 
#            as.integer()
#   ) %>% 
#   rename(priorate_seats = value) %>% 
#   mutate(priorate_seats = if_else(priorate_seats < 0L, NA_integer_, priorate_seats))
# 
# verts <- bind_cols(vert_names, vert_wealth, vert_priors)
# 
# 
# # edges
# business_start <- str_which(raw, '\\*Arcs :1 "Business"') + 1
# business_end <- str_which(raw, '\\*Arcs :2 "Marital"') - 1
# 
# business <- raw[business_start:business_end] %>%
#   tibble(value = .) %>% 
#   filter(nchar(value) > 0L) %>% 
#   mutate(value = str_trim(value)) %>% 
#   separate(value, c(".ego", ".alter", "weight"), sep = "\\s+") %>% 
#   mutate_all(as.integer) %>% 
#   select(-weight) %>% 
#   mutate(relation = "business")
# 
# marriage_start <- str_which(raw, '\\*Arcs :2 "Marital"') + 1
# marriage_end <- str_which(raw, '\\*Vector Wealth') - 1
# 
# marriage <- raw[marriage_start:marriage_end] %>%
#   as_tibble() %>% 
#   filter(nchar(value) > 0L) %>% 
#   mutate(value = str_trim(value)) %>% 
#   separate(value, c(".ego", ".alter", "weight"), sep = "\\s+") %>% 
#   mutate_all(as.integer) %>% 
#   select(-weight) %>% 
#   mutate(relation = "marriage")
# 
# edges <- bind_rows(business, marriage) %>%
#   mutate(dyad = map2(.ego, .alter, ~ sort(c(.x, .y)))) %>% 
#   mutate(.ego = map_int(dyad, 1),
#          .alter = map_int(dyad, 2)) %>% 
#   select(-dyad) %>% 
#   distinct()
# 
# 
# 
# florence_marriage_ig <- igraph::graph_from_data_frame(edges, directed = FALSE, 
#                                                       vertices = verts)
# florence_marriage_net <- snatools::as_network(florence_marriage_ig)
# 
# 
# # usethis::use_data(florence)