Base class for centrality measures.
This is the base for high level measures.
Parameters defining how to plot measures.
A measure to plot special entries composed of a minimum, average and maximum value.
A measure to add 1D entries (y). x is auto-incremented by one at each new value.
A measure allowing to add 2D entries (x,y).
Base for series measure.
Compute closeness centrality.
Provides some statistical information on the size of current community assignment on the specified graph as it evolves.
Computes and updates an absolute measure based on the current community assignment on a given graph as it evolves.
Computes and updates a relative measure based on the comparison between the current community assignment and a reference assignment on a given graph.
Get the vertex-connectivity of a graph.
Measure the count of edges in a graph.
Measure the count of nodes in a graph.
A measure to get the maximum count of edges appearing simultaneously in the dynamic graph.
A measure to get the maximum count of nodes appearing simultaneously in the dynamic graph.
Computes and updates the modularity of a given graph as it evolves.
Computes and updated the current Normalized Mutual Information (NMI) measure between a dynamically-performed community assignment on a graph as it evolves and a fixed assignment, known as reference.
Defines the support used for rendering : on screen or in a file.
Type of plot.s
Exception that can be raised when trying to plot measures.
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