Uses of Interface
org.graphstream.algorithm.Algorithm
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Uses of Algorithm in org.graphstream.algorithm
Subinterfaces of Algorithm in org.graphstream.algorithm Modifier and Type Interface Description interface
DynamicAlgorithm
Defines algorithms able to handle dynamics of a graph.interface
SpanningTree
This interface defines the basic functionalities of a spanning tree algorithm.Classes in org.graphstream.algorithm that implement Algorithm Modifier and Type Class Description class
AbstractSpanningTree
Base for spanning tree algorithms.class
APSP
All-pair shortest paths lengths.class
AStar
An implementation of the A* algorithm.class
BellmanFord
Implementation of the Bellman-Ford algorithm that computes single-source shortest paths in a weighted digraphclass
BetweennessCentrality
Compute the "betweenness" centrality of each vertex of a given graph.class
Centroid
Compute the centroid of a connected graph.class
ConnectedComponents
Compute and update the number of connected components of a dynamic graph.class
Dijkstra
Dijkstra's algorithm computes the shortest paths from a given node called source to all the other nodes in a graph.class
DStar
An implementation of the D* algorithm.class
Eccentricity
Compute the eccentricity of a connected graph.class
Kruskal
Compute a spanning tree using the Kruskal algorithm.class
LongestPath
Implementation of longest path algorithm in a DAG (directed acyclic graph) using topologicalSortclass
PageRank
The PageRank is an algorithm that measures the "importance" of the nodes in a graph.class
Prim
Compute a spanning tree using the Prim algorithm.class
Spectrum
class
TarjanStronglyConnectedComponents
Tarjan's Algorithm is a graph theory algorithm for finding the strongly connected components of a graph.class
TopologicalSortDFS
Implementation of depth first search algorithm for a topological sorting of a directed acyclic graph (DAG).class
TopologicalSortKahn
Implementation of Kahn's algorithm for a topological sorting of a directed acyclic graph (DAG).Constructors in org.graphstream.algorithm with parameters of type Algorithm Constructor Description AlgorithmComputationTrigger(AlgorithmComputationTrigger.Mode mode, Algorithm algo)
NotInitializedException(Algorithm algo)
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Uses of Algorithm in org.graphstream.algorithm.coloring
Classes in org.graphstream.algorithm.coloring that implement Algorithm Modifier and Type Class Description class
WelshPowell
Welsh Powell static graph coloring algorithm. -
Uses of Algorithm in org.graphstream.algorithm.community
Classes in org.graphstream.algorithm.community that implement Algorithm Modifier and Type Class Description class
DecentralizedCommunityAlgorithm
Base class for all distributed community detection algorithm.class
EpidemicCommunityAlgorithm
This class implements the "Epidemic Community Detection Algorithm" as presented by Raghavan et al.class
Leung
This class implements an improved community detection algorithm based on the epidemic label propagation paradigm the was presented by Leung et al.class
SyncEpidemicCommunityAlgorithm
This class implements the synchronous version of the "Epidemic Community Detection Algorithm" as presented by Raghavan et al. -
Uses of Algorithm in org.graphstream.algorithm.flow
Subinterfaces of Algorithm in org.graphstream.algorithm.flow Modifier and Type Interface Description interface
FlowAlgorithm
Defines algorithm used to compute maximum flow.Classes in org.graphstream.algorithm.flow that implement Algorithm Modifier and Type Class Description class
EdmondsKarpAlgorithm
class
FlowAlgorithmBase
Base for flow algorithms.class
FordFulkersonAlgorithm
The Ford-Fulkerson algorithm to compute maximum flow. -
Uses of Algorithm in org.graphstream.algorithm.measure
Classes in org.graphstream.algorithm.measure that implement Algorithm Modifier and Type Class Description class
AbstractCentrality
Base class for centrality measures.class
ChartConnectivityMeasure
static class
ChartConnectivityMeasure.ChartEdgeConnectivityMeasure
static class
ChartConnectivityMeasure.ChartVertexConnectivityMeasure
class
ClosenessCentrality
Compute closeness centrality.class
CommunityDistribution
Provides some statistical information on the size of current community assignment on the specified graph as it evolves.class
CommunityMeasure
Computes and updates an absolute measure based on the current community assignment on a given graph as it evolves.class
CommunityRelativeMeasure
Computes and updates a relative measure based on the comparison between the current community assignment and a reference assignment on a given graph.static class
ConnectivityMeasure.EdgeConnectivityMeasure
static class
ConnectivityMeasure.VertexConnectivityMeasure
class
DegreeCentrality
class
DegreeMeasure
class
EigenvectorCentrality
class
ElementCountMeasure
static class
ElementCountMeasure.EdgeCountMeasure
Measure the count of edges in a graph.static class
ElementCountMeasure.NodeCountMeasure
Measure the count of nodes in a graph.class
Modularity
Computes and updates the modularity of a given graph as it evolves.class
NormalizedMutualInformation
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.class
SurpriseMeasure
Surprise measure.class
VariationOfInformation
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Uses of Algorithm in org.graphstream.algorithm.networksimplex
Classes in org.graphstream.algorithm.networksimplex that implement Algorithm Modifier and Type Class Description class
DynamicOneToAllShortestPath
class
NetworkSimplex
Minimum cost flow problem -
Uses of Algorithm in org.graphstream.algorithm.randomWalk
Classes in org.graphstream.algorithm.randomWalk that implement Algorithm Modifier and Type Class Description class
RandomWalk
A random walk on a graph.