edu.uci.ics.jung.algorithms.importance
Class RandomWalkBetweenness
java.lang.Object
edu.uci.ics.jung.algorithms.IterativeProcess
edu.uci.ics.jung.algorithms.importance.AbstractRanker
edu.uci.ics.jung.algorithms.importance.RandomWalkSTBetweenness
edu.uci.ics.jung.algorithms.importance.RandomWalkBetweenness
- public class RandomWalkBetweenness
- extends RandomWalkSTBetweenness
Computes betweenness centrality for each vertex in the graph. The betweenness values in this case
are based on random walks, measuring the expected number of times a node is traversed by a random walk
averaged over all pairs of nodes. The result is that each vertex has a UserData element of type
MutableDouble whose key is 'centrality.RandomWalkBetweennessCentrality'
A simple example of usage is:
RandomWalkBetweenness ranker = new RandomWalkBetweenness(someGraph);
ranker.evaluate();
ranker.printRankings();
Running time is: O((m+n)*n^2).
- Author:
- Scott White
- See Also:
- "Mark Newman: A measure of betweenness centrality based on random walks, 2002."
Method Summary |
java.lang.String |
getRankScoreKey()
the user datum key used to store the rank scores |
Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
CENTRALITY
public static final java.lang.String CENTRALITY
- See Also:
- Constant Field Values
RandomWalkBetweenness
public RandomWalkBetweenness(UndirectedGraph g)
- Constructor which initializes the algorithm
- Parameters:
g
- the graph whose nodes are to be analyzed
getRankScoreKey
public java.lang.String getRankScoreKey()
- the user datum key used to store the rank scores
- Overrides:
getRankScoreKey
in class RandomWalkSTBetweenness
- Returns:
- the key