Visual Analytics

At the end of the analytical process, it is often useful to visualize the obtained results. cdlib provides a few built-in facilities to ease such tasks.

Network Visualization

Visualizing a graph is always a good idea (if its size is reasonable).

plot_network_clusters(graph, partition[, ...])	This function plots a graph where nodes are color-coded based on their community assignments.
plot_network_highlighted_clusters(graph, ...)	This function plots a network with highlighted communities, node color coding for communities and draws polygons around clusters.
plot_community_graph(graph, partition[, ...])	This function plots a graph where each node represents a community, and nodes are color-coded based on their community assignments generated by a community detection algorithm.

Analytics plots

Community evaluation outputs can be easily used to represent the main partition characteristics visually.

plot_sim_matrix(clusterings, scoring)	Plot a similarity matrix between a list of clusterings, using the provided scoring function.
plot_com_stat(com_clusters, com_fitness)	Plot the distribution of a property among all communities for a clustering, or a list of clusterings (violin-plots)
plot_com_properties_relation(com_clusters, ...)	Plot the relation between two properties/fitness function of a clustering
plot_scoring(graphs, ref_partitions, ...[, ...])	Plot the scores obtained by a list of methods on a list of graphs.

Dynamic Community Events plots

Dynamic community detection algorithms can be evaluated using the dynamic community events framework. The results can be visualized using the following functions.

plot_flow(lc[, node_focus, slice])	Plot the flow of a lifecycle
plot_event_radar(lc, set_name, direction[, ...])	Plot the radar of event weights for a given event set.
plot_event_radars(lc, set_name[, ...])	Plot the radar of event weights for a given event set in both directions.
typicality_distribution(lc, direction[, ...])	Plot the distribution of typicality of events in a given direction.