Uses of Class
edu.uci.ics.jung.algorithms.scoring.AbstractIterativeScorerWithPriors
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Packages that use AbstractIterativeScorerWithPriors Package Description edu.uci.ics.jung.algorithms.scoring Mechanisms for assigning values (denoting significance, influence, centrality, etc.) to graph elements based on topological properties. -
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Uses of AbstractIterativeScorerWithPriors in edu.uci.ics.jung.algorithms.scoring
Subclasses of AbstractIterativeScorerWithPriors in edu.uci.ics.jung.algorithms.scoring Modifier and Type Class Description class
EigenvectorCentrality<V,E>
Calculates eigenvector centrality for each vertex in the graph.class
HITS<V,E>
Assigns hub and authority scores to each vertex depending on the topology of the network.class
HITSWithPriors<V,E>
A generalization of HITS that permits non-uniformly-distributed random jumps.class
KStepMarkov<V,E>
A special case ofPageRankWithPriors
in which the final scores represent a probability distribution over position assuming a random (Markovian) walk of exactly k steps, based on the initial distribution specified by the priors.class
PageRank<V,E>
Assigns scores to each vertex according to the PageRank algorithm.class
PageRankWithPriors<V,E>
A generalization of PageRank that permits non-uniformly-distributed random jumps.
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