Plot a network — plot

Plot a network using degree-modulated node sizes, community colors and other enhancements

plot_net(
  gr,
  community = NULL,
  color_map = NULL,
  extract_lcc = TRUE,
  heavy_edge_deg_perc = 0.97,
  coord = NULL,
  vsize_func = function(deg) log(deg + 3) * 1,
  vertex_border = F,
  niter = 1000,
  vertex_alpha = 0.4,
  remove_loops = T,
  make_simple = F,
  ...
)

Arguments

gr: the network as an igraph object
community: community assignment; vector of node labels
color_map: color palette for clusters in 'gr'
extract_lcc: Extract largest connected component or not
heavy_edge_deg_perc: Degree percentile threshold for determining heavy edges
coord: Optional starting positions for the vertices. If this argument is not NULL then it should be an appropriate matrix of starting coordinates.
vsize_func: function to determine the size of node size
vertex_border: whether to show the border of vertex or not
niter: number of iteration for FR layout computation
vertex_alpha: factor modifying the opacity alpha of vertex; typically in [0,1]
remove_loops: whether to remove loops in the network
make_simple: whether to simplify edge weight calculation
...: other settings