Temporal Network Viz

script.R

library(ggraph)
library(tidygraph)
library(gganimate)

# Data from http://konect.uni-koblenz.de/networks/sociopatterns-infectious
infect <- read.table('out.sociopatterns-infectious', skip = 2, sep = ' ', stringsAsFactors = FALSE)
infect$V3 <- NULL
names(infect) <- c('from', 'to', 'time')
infect$time <- as.POSIXct(infect$time, origin = Sys.time() - as.numeric(Sys.time()))

gr <- tbl_graph(edges = infect, directed = FALSE) %>% 
  mutate(degree = centrality_degree())

# Animation Code
p <- ggraph(gr, 'lgl') + 
  geom_edge_link0(edge_colour = '#991814', edge_width = 1, edge_alpha = 1) + 
  geom_node_point(aes(size = degree), colour = '#1B2733', show.legend = FALSE) + 
  scale_size_area(max_size = 4) +
  ggtitle('Human Interactions', subtitle = 'Time of encounter {format(frame_time, "%H:%M")}') +
  theme_graph() + 
  theme(plot.background = element_rect(fill = '#B5C9BA'), 
        plot.title = element_text(color = '#F77976')) +
  transition_events(start = time, enter_length = hms::hms(hours = 3), exit_length = hms::hms(hours = 3)) +
  enter_fade() + 
  exit_fade()
  
animate(p, 100, 10)

Modern version of https://gist.github.com/thomasp85/eee48b065ff454e390e1