Uses of Class
edu.uci.ics.jung.algorithms.scoring.AbstractIterativeScorer

Packages that use AbstractIterativeScorer

Package	Description
edu.uci.ics.jung.algorithms.scoring	Mechanisms for assigning values (denoting significance, influence, centrality, etc.) to graph elements based on topological properties.

Uses of AbstractIterativeScorer in edu.uci.ics.jung.algorithms.scoring

Subclasses of AbstractIterativeScorer in edu.uci.ics.jung.algorithms.scoring

Modifier and Type	Class and Description
class	AbstractIterativeScorerWithPriors<V,E,S> An abstract class for iterative random-walk-based vertex scoring algorithms that have a fixed probability, for each vertex, of 'jumping' to that vertex at each step in the algorithm (rather than following a link out of that vertex).
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 of PageRankWithPriors 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.
class	VoltageScorer<V,E> Assigns scores to vertices according to their 'voltage' in an approximate solution to the Kirchoff equations.