Plot your Networks — plot_networks • networkflow

An easy way to plot your networks by using the columns created by the different function of networkflow.

Usage

plot_networks(
  graphs,
  x = "x",
  y = "y",
  cluster_label_column = "cluster_label",
  node_size_column = "node_size",
  color_column = "color",
  color_networks = FALSE,
  color = NULL,
  print_plot_code = FALSE
)

Arguments

graphs: A tibble graph from tidygraph or a list of tibble graphs.
x, y: The columns of your tibble graph or list of tibble graphs with the x and y coordinates of your nodes (for instance, the coordinates produce by layout_networks()).
cluster_label_column: The values of the column are taken to be displayed as labels. By default, "cluster_label", as it is the default name of the column created with name_clusters(). But you may also use the column produced with add_clusters().
node_size_column: The column with numeric values to be used for the size of nodes. By default, "node_size", as the column created by build_dynamic_networks() or build_network() when compute_size set to TRUE in these functions. If NULL, the size of every nodes is set to 1.
color_column: The column with the colors associated to the categories of cluster_label_column. By default, "color", as the result of color_networks().
color_networks: If no color has been set for the categories of cluster_label_column, you can attribute them colors by setting color_networks to TRUE. color_networks() will be used.
color: If color_networksis TRUE, the parameter color will be used to color the categories of the cluster_label_column. It may be a vector of colors (in a character format) or a two columns data frame with the first column as the distinct observations of the cluster_label_column and a second column with the vector of colors you want to use. If NULL colors will be automatically chosen by color_networks().
print_plot_code: Set to TRUE if you want the ggplot2 code to be printing. It is useful if you are not totally satisfied of the plot and want to manipulate the code yourself.

Details

If you have not used prepare_label_networks(), the function will be automatically used to produce coordinates to each category of cluster_label_column.