At the end of the analytical process is it often useful to visualize the obtained results.
cdlib provides a few built-in facilities to ease such task.
Visualizing a graph is always a good idea (if its size is reasonable).
||Plot a graph with node color coding for communities.|
||Plot a algorithms-graph with node color coding for communities.|
Community evaluation outputs can be easily used to generate a visual representation of the main partition characteristics.
||Plot a similarity matrix between a list of clusterings, using the provided scoring function.|
||Plot the distribution of a property among all communities for a clustering, or a list of clusterings (violin-plots)|
||Plot the relation between two properties/fitness function of a clustering|
||Plot the scores obtained by a list of methods on a list of graphs.|