Uses of Interface
nz.ac.waikato.mcennis.rat.graph.model.Model

Packages that use Model

nz.ac.waikato.bibliography
nz.ac.waikato.bibliography.algorithm
nz.ac.waikato.mcennis.rat
nz.ac.waikato.mcennis.rat.dataAquisition
nz.ac.waikato.mcennis.rat.graph
nz.ac.waikato.mcennis.rat.graph.actor
nz.ac.waikato.mcennis.rat.graph.algorithm
nz.ac.waikato.mcennis.rat.graph.algorithm.aggregators
nz.ac.waikato.mcennis.rat.graph.algorithm.clustering
nz.ac.waikato.mcennis.rat.graph.algorithm.collaborativefiltering
nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation
nz.ac.waikato.mcennis.rat.graph.algorithm.machinelearning
nz.ac.waikato.mcennis.rat.graph.algorithm.prestige
nz.ac.waikato.mcennis.rat.graph.algorithm.reusablecores
nz.ac.waikato.mcennis.rat.graph.algorithm.similarity
nz.ac.waikato.mcennis.rat.graph.algorithm.transformToArray
nz.ac.waikato.mcennis.rat.graph.algorithm.visual
nz.ac.waikato.mcennis.rat.graph.link
nz.ac.waikato.mcennis.rat.graph.model
nz.ac.waikato.mcennis.rat.graph.path
nz.ac.waikato.mcennis.rat.graph.property
nz.ac.waikato.mcennis.rat.gui
nz.ac.waikato.mcennis.rat.scheduler

Uses of Model in nz.ac.waikato.bibliography

Classes in nz.ac.waikato.bibliography that implement Model

class	LoadBibliographyAndClass Loads two XML files describing a set of papers and their authors.
class	LoadBibliographyXML Loads an XML file containing bibliographic data.

Uses of Model in nz.ac.waikato.bibliography.algorithm

Classes in nz.ac.waikato.bibliography.algorithm that implement Model

class	OutputBibliographyXML Class for outputting into an XML format the pagerank of each file.
class	OutputBridgesByCluster
class	OutputDifference Class for outputting into an XML format the pagerank of each file.

Uses of Model in nz.ac.waikato.mcennis.rat

Subinterfaces of Model in nz.ac.waikato.mcennis.rat

interface

Component This class describes the self-documenting features of the different components that make up the toolkit.

Uses of Model in nz.ac.waikato.mcennis.rat.dataAquisition

Subinterfaces of Model in nz.ac.waikato.mcennis.rat.dataAquisition

interface

DataAquisition Class for acquiring data into RAT.

Classes in nz.ac.waikato.mcennis.rat.dataAquisition that implement Model

class	CrawlLastFM Class for parsing the LastFM web services with a multi-threaded parser.
class	CrawlLiveJournal This class enables parsing and spidering of the LiveJournal site.
class	FileReader Reads FOAF files in the given directory in one pass.
class	FileReader2Pass Reads a directory of FOAF descriptions as defined by the FOAF parser (the LiveJournal specific dialect) in two passes.
class	GetArtistTags Single threaded crawler for parsing a set of predetermined artists from LastFM.
class	LastFMTagFileReader Read a directory of files containing tags for each artist in an XML file read by the LastFMArtistTag XML parser.
class	ReadAudioFiles Module for creating a set of song actors where the features extracted from the audio are added as weka Instance objects.
class	ReadLastFMProfileFile Class for parsing a (possibly compressed) tar file containing the files created by the CrawlLastFM module.
class	ReadMemGraphXMLFile Class for reading an arbitrary MemGraph XML file.

Uses of Model in nz.ac.waikato.mcennis.rat.graph

Subinterfaces of Model in nz.ac.waikato.mcennis.rat.graph

interface

Graph Interface representing a social network.

Classes in nz.ac.waikato.mcennis.rat.graph that implement Model

class	Clique Class for describing a completely connected subgraph.
class	DerbyGraph Class that implements all the JDBC code for a Derby backed graph model.
class	MemGraph A graph object that is held entirely in memory
class	NullGraph Class that retains no information and implements null operations on every node.
class	PostgresqlGraph Sub-class of the DerbyGraph Object to work with postgresql databases
class	Tree Class for describing a tree.
class	UserIDList Class that records only those users that initiate links.
class	UserList Aquires a list of all actors that have been seen.

Methods in nz.ac.waikato.mcennis.rat.graph with parameters of type Model

void	DerbyGraph.publishChange(Model m, int type, int argument) Records changes in properties of this graph, updating the database as needed.

Uses of Model in nz.ac.waikato.mcennis.rat.graph.actor

Classes in nz.ac.waikato.mcennis.rat.graph.actor that implement Model

class	BasicUser
class	DBActor Class that implemnts an actor backed by a DerbyDB database.

Methods in nz.ac.waikato.mcennis.rat.graph.actor with parameters of type Model

void	DBActor.publishChange(Model m, int type, int argument) Saves to database the changes in a property.

Uses of Model in nz.ac.waikato.mcennis.rat.graph.algorithm

Subinterfaces of Model in nz.ac.waikato.mcennis.rat.graph.algorithm

interface

Algorithm Interface specifying an algorithm that operates against a Graph.

Classes in nz.ac.waikato.mcennis.rat.graph.algorithm that implement Model

class	AddBasicGeodesicPaths Class for calculating all geodesic paths over a set of links and set of actors using a variation of Djikstra's algorithm.
class	AddBasicInterestLink Creates an interest link using exponential similarity to take bag-of-words from a property list to create a link between actors represetning the degree of which their interest overlaps.
class	AddDegreeGraphProperties Add basic degree-based properties for actors and graphs.
class	AddGeodesicProperties Calculates properties of a node: (In/Out) Eccentricity - Wasserman and Faust p111 - modified for directional links Diameter - Wasserman and Faust p111.
class	AddMusicLinks Takes set of artist links and creates music userlinks between users based on the degree of similarity in musical tastes.
class	AddMusicRecommendations Creates derived user->artist links from knows, interest, and music links.
class	AddMusicReferences Class that takes interest links, determines which are artists, then creates an artist actor and links the user to this artist.
class	Difference Algorithm for calculating the difference across properties of an actor
class	ExtractMusicCoverage Class that enumerates all artists that are present in the given dataset.
class	IdentifyBridges Algorithm for calculating the difference across properties of an actor
class	OptimizedPathBase Class that calculates geodesic paths using Djikstra's spanning tree algorithm Hooks are provided for subclasses to use each spanning tree for one actor so that the algorithms can become linear in space rather than O(n2).
class	PrincipalComponentsAnalysis Performs principal component analysis on a colt 2D matrix describing a distance matrix.
class	RankingProperties Reads a Double property and creates a new property reflecting the index of the actor ordered by this property.
class	TrimEdgeUsers Class for removing all actors of a given type (mode) that have no outgoing links

Uses of Model in nz.ac.waikato.mcennis.rat.graph.algorithm.aggregators

Classes in nz.ac.waikato.mcennis.rat.graph.algorithm.aggregators that implement Model

class	AggregateByGraph Class for taking a property of a given ID across actors of a given mode and aggregating these properties into a single property on the enclosing graph.
class	AggregateByLinkProperty Aggregates a single property across links.
class	AggregateLinks Aggregates a single property across links.
class	AggregateOnActor Class for Aggregating the properties of an actor into a single Instance object.
class	CombineProperty
class	FromGraphToActor Class aggregates all the properties of a graph and propogates them to each actor in the graph.
class	PropertyToLink

Uses of Model in nz.ac.waikato.mcennis.rat.graph.algorithm.clustering

Classes in nz.ac.waikato.mcennis.rat.graph.algorithm.clustering that implement Model

class	BicomponentClusterer Finds all biconnected components (bicomponents) of an undirected graph.
class	EnumerateMaximalCliques Maximal cliques are defined as a fully connected subgraph such that any additional node added to the subgraph is not fully connected.
class	FindStronglyConnectedComponents Algorithm for finding all strongly connected components in a graph.
class	FindWeaklyConnectedComponents Create subgraphs from all weakly connected components.
class	NaiveImplementClique Implements the traditional naive implementation of finidng cliques.
class	NormanGirvanEdgeBetweenessClustering Class implementing NormanGirvan edge betweeness clustering.
class	TraditionalEdgeBetweenessClustering Creates clusters by removing each edge sequentially by order of link betweeness.
class	WekaClassifierClusterer Utilize an arbitrary classifier-clusterer (clusterer that assigns an unknown cluster to exactly one category).
class	WekaProbablisticClusterer Utilize an arbitrary probabilistic-clusterer (vector of probable membership in a cluster).

Methods in nz.ac.waikato.mcennis.rat.graph.algorithm.clustering with parameters of type Model

void	FindStronglyConnectedComponents.publishChange(Model m, int type, int argument)

Uses of Model in nz.ac.waikato.mcennis.rat.graph.algorithm.collaborativefiltering

Classes in nz.ac.waikato.mcennis.rat.graph.algorithm.collaborativefiltering that implement Model

class	AssociativeMining Class that performs collaborative filtering on a set of actors via their links to another mode of actors.
class	Item2Item Performs classic Item to Item collaborative filtering.
class	User2User Performs User to user collaborative filtering where similar users' links to destination actors (items) are used to suggest items for the given user.

Uses of Model in nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation

Classes in nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation that implement Model

class	HalfLife Uses Given(user->artist) as valued ground truth.
class	KendallTau This compares all ordered pairs of recommendations.
class	MeanErrorEvaluation Utilizes Given(user->artist) as ground truth and Derived(user->artist) as predicted values.
class	PearsonCorrelation Utilizes Given(user->artist) as ground truth and Derived(user->artist) as predictions.
class	PrecisionRecallFMeasure Class for calculating a variety of evaluation metrics between Given(user->artist) (ground truth) and a Derived(user->artist) (predicted) set of links.
class	RecommendationError Takes Given(user->artist) links as ground truth and then calculates error using Derived(user->artist) as the predicted values.
class	ROCAreaEvaluation Calculates the integral of the average percent of ground truth present in a ranked list iterating over the list.

Uses of Model in nz.ac.waikato.mcennis.rat.graph.algorithm.machinelearning

Classes in nz.ac.waikato.mcennis.rat.graph.algorithm.machinelearning that implement Model

class	MultiInstanceSVM Derive globally using the same data as the AddMusicRecommendation algorithm.
class	SVM
class	WekaClassifierMultiAttribute
class	WekaClassifierOneAttribute Class for utilizing Weka Machine-Learning non-probabilistic Classifiers.

Uses of Model in nz.ac.waikato.mcennis.rat.graph.algorithm.prestige

Classes in nz.ac.waikato.mcennis.rat.graph.algorithm.prestige that implement Model

class	AddBasicBetweenessCentrality Class for calculating Betweeness as described in Freeman 79 except that multiple geodesic paths between two actors are treated as if they are unique paths.
class	AddBetweenessCentrality Class that provides a betweeness metric that matches Freeman79.
class	AddClosenessCentrality Algorithm that implements closeness as in Freeman79.
class	AddCombinedCloseness Optimized version of Closeness as defined by Freeman79.
class	AddDegreeCentrality Calculates centrality and prestige based on actor degree.
class	AddPageRankPrestige Calcuates the PageRank of an actor using the PageRank algorithm as defined in Langeville and Meyer Langeville, A., and C.
class	HITSPrestige Class implementing a naive implementation of Kelinberg's HITS algorithm (Kleinberg99) Kleinberg, J.
class	OptimizedBetweeness Class built upon OptimizedPathBase that claculates Betweeness.
class	OptimizedCloseness Class that calculates Closeness in O(n) space using OptimizedPathBase.
class	OptimizedLinkBetweeness Class built upon OptimizedPathBase that calculates Betweeness for links.
class	ScalableHitsPrestige Class Implementing the HITS algoerithm by a variation of the power metric as defined in Kleinberg99.
class	ScalablePageRankPrestige Class for calculating the PageRank of an algorithm using the Power method.

Methods in nz.ac.waikato.mcennis.rat.graph.algorithm.prestige with parameters of type Model

void	OptimizedLinkBetweeness.publishChange(Model m, int type, int argument)

Uses of Model in nz.ac.waikato.mcennis.rat.graph.algorithm.reusablecores

Classes in nz.ac.waikato.mcennis.rat.graph.algorithm.reusablecores that implement Model

class

FindStronglyConnectedComponentsCore Class for finding only components that are strongly connected.

Uses of Model in nz.ac.waikato.mcennis.rat.graph.algorithm.similarity

Classes in nz.ac.waikato.mcennis.rat.graph.algorithm.similarity that implement Model

class	GraphSimilarityByProperty Calculates the similarity between two graphs by a given property.
class	HierarchyByCooccurance Initial algorithm for creating an ontology from a folksonomy.
class	SimilarityByLink Determine the similarity between two actors by the data vector implied by the given relation.
class	SimilarityByProperty Calculates similarity between actors via a double[] describing a vector property

Uses of Model in nz.ac.waikato.mcennis.rat.graph.algorithm.transformToArray

Classes in nz.ac.waikato.mcennis.rat.graph.algorithm.transformToArray that implement Model

class	ActorDistanceMatrix Class for creating a matrix representing the distances between graph nodes.
class	DirectedTriplesHistogram Transforms a graph object (one mode and relation) into a 20 dimensional double array describing a histogram of all triples of actors in the graph.
class	UndirectedTriplesHistogram Transforms a graph object (one mode and relation) into a 4 dimensional double array describing a histogram of all triples of actors in the graph.

Uses of Model in nz.ac.waikato.mcennis.rat.graph.algorithm.visual

Classes in nz.ac.waikato.mcennis.rat.graph.algorithm.visual that implement Model

class	BasicDisplayGraph Class for mapping one mode and one relation into a prefuse display demo.
class	ColoredByPropertyGraph Class for mapping one mode and one relation into a prefuse display demo.
class	DisplayAll Class that displays an entire graph inside a Prefuse display window.

Uses of Model in nz.ac.waikato.mcennis.rat.graph.link

Subinterfaces of Model in nz.ac.waikato.mcennis.rat.graph.link

interface

Link Interface for describing a link (arc, edge) in a graph.

Classes in nz.ac.waikato.mcennis.rat.graph.link that implement Model

class	BasicUserLink Class providing a base implementation of the Link Interface
class	DBLink Class that implemnts a link backed by a DerbyDB database.

Methods in nz.ac.waikato.mcennis.rat.graph.link with parameters of type Model

void	DBLink.publishChange(Model m, int type, int argument) Saves to database the changes in a property.

Uses of Model in nz.ac.waikato.mcennis.rat.graph.model

Classes in nz.ac.waikato.mcennis.rat.graph.model that implement Model

class

ModelShell Shell class providing basic MVC support to models.

Methods in nz.ac.waikato.mcennis.rat.graph.model with parameters of type Model

void	Listener.publishChange(Model m, int type, int argument) Recieve and update of the given type.

Uses of Model in nz.ac.waikato.mcennis.rat.graph.path

Subinterfaces of Model in nz.ac.waikato.mcennis.rat.graph.path

interface	Path Class for describing a path in a graph
interface	PathSet Class for grouping sets of path into a single unit with a single id.

Classes in nz.ac.waikato.mcennis.rat.graph.path that implement Model

class	BasicPath Class for a basic Path implementation
class	BasicPathSet Class for describing a set of Paths

Uses of Model in nz.ac.waikato.mcennis.rat.graph.property

Subinterfaces of Model in nz.ac.waikato.mcennis.rat.graph.property

interface

Property Class for defining a property on either actor, link, or graph

Classes in nz.ac.waikato.mcennis.rat.graph.property that implement Model

class

BasicProperty Class describing properties on graphs and actors

Uses of Model in nz.ac.waikato.mcennis.rat.gui

Methods in nz.ac.waikato.mcennis.rat.gui with parameters of type Model

void	SwingUpdater.publishChange(Model m, int type, int argument)

Uses of Model in nz.ac.waikato.mcennis.rat.scheduler

Subinterfaces of Model in nz.ac.waikato.mcennis.rat.scheduler

interface

Scheduler Interface for a blackboard-style scheduler.

Classes in nz.ac.waikato.mcennis.rat.scheduler that implement Model

class

BasicScheduler Stripped down scheduler that directly executes each component without performing any sanity checks on the input.

Methods in nz.ac.waikato.mcennis.rat.scheduler with parameters of type Model

void	BasicScheduler.publishChange(Model m, int type, int argument)