Class  Description 

AbstractCentrality 
Base class for centrality measures.

ChartConnectivityMeasure  
ChartConnectivityMeasure.ChartEdgeConnectivityMeasure  
ChartConnectivityMeasure.ChartVertexConnectivityMeasure  
ChartMeasure 
This is the base for high level measures.

ChartMeasure.PlotParameters 
Parameters defining how to plot measures.

ChartMinMaxAverageSeriesMeasure 
A measure to plot special entries composed of a minimum, average and maximum
value.

ChartSeries1DMeasure 
A measure to add 1D entries (y). x is autoincremented by one at each new
value.

ChartSeries2DMeasure 
A measure allowing to add 2D entries (x,y).

ChartSeriesMeasure 
Base for series measure.

ClosenessCentrality 
Compute closeness centrality.

CommunityDistribution 
Provides some statistical information on the size of current community
assignment on the specified graph as it evolves.

CommunityMeasure 
Computes and updates an absolute measure based on the current community
assignment on a given graph as it evolves.

CommunityRelativeMeasure 
Computes and updates a relative measure based on the comparison between the
current community assignment and a reference assignment on a given graph.

ConnectivityMeasure 
Get the vertexconnectivity of a graph.

ConnectivityMeasure.EdgeConnectivityMeasure  
ConnectivityMeasure.KIndexesArray  
ConnectivityMeasure.StepTrigger  
ConnectivityMeasure.VertexConnectivityMeasure  
DegreeCentrality  
DegreeMeasure  
EigenvectorCentrality  
ElementCountMeasure  
ElementCountMeasure.EdgeCountMeasure 
Measure the count of edges in a graph.

ElementCountMeasure.NodeCountMeasure 
Measure the count of nodes in a graph.

MaxSimultaneousEdgeCount 
A measure to get the maximum count of edges appearing simultaneously in the
dynamic graph.

MaxSimultaneousNodeCount 
A measure to get the maximum count of nodes appearing simultaneously in the
dynamic graph.

Modularity 
Computes and updates the modularity of a given graph as it evolves.

NormalizedMutualInformation 
Computes and updated the current Normalized Mutual Information (NMI) measure
between a dynamicallyperformed community assignment on a graph as it evolves
and a fixed assignment, known as reference.

SurpriseMeasure 
Surprise measure.

VariationOfInformation 
Enum  Description 

AbstractCentrality.NormalizationMode  
ChartMeasure.PlotOutputType 
Defines the support used for rendering : on screen or in a file.

ChartMeasure.PlotType 
Type of plot.s

DegreeCentrality.Mode 
Exception  Description 

ChartMeasure.PlotException 
Exception that can be raised when trying to plot measures.

WebARTS Library Licensed Under the GNU  General Public License. Other Libraries licensed under their respective Open Source Licenses