org.gephi.ui.statistics.plugin.Bundle.properties Maven / Gradle / Ivy
GraphDistancePanel.directedRadioButton.text=Directed
GraphDistancePanel.undirectedRadioButton.text=Undirected
ClusteringCoefficientPanel.jLabel1.text=Clustering Coefficent Metric
ClusteringCoefficientPanel.directedRadioButton.text=Directed
ClusteringCoefficientPanel.undirectedRadioButton.text=Undirected
DegreeDistributionPanel.directedRadioButton.text=Directed
DegreeDistributionPanel.undirectedRadioButton.text=Undirected
OpenIDE-Module-Short-Description=Standard statistics UI implementations
PageRankPanel.probTextField.text=
PageRankPanel.epsilonTextField.text=
HitsPanel.epsilonTextField.text=
GraphDensityPanel.directedRadioButton.text=Directed
GraphDensityPanel.undirectedRadioButton.text=Undirected
DegreeDistributionPanel.descriptionLabel.text=
GraphDistancePanel.descriptionLabel.text=
HitsPanel.labelEpsilon.text=Epsilon:
HitsPanel.descriptionLabel.text=
HitsPanel.directedRadioButton.text=Directed
HitsPanel.undirectedRadioButton.text=Undirected
ModularityPanel.randomizeCheckbox.text=Randomize
ModularityPanel.desriptionLabel.text=
PageRankPanel.labelP.text=Probability (p):
PageRankPanel.labelE.text=Epsilon:
PageRankPanel.directedRadioButton.text=Directed
PageRankPanel.undirectedRadioButton.text=Undirected
GraphDensityPanel.header.title=Density
GraphDensityPanel.header.description=Measures how close the network is to complete. A complete graph has all possible edges and density equal to 1.
ClusteringCoefficientPanel.header.title=Clustering Coefficent
ClusteringCoefficientPanel.header.description=The clustering coefficient, along with the mean shortest path, can indicate a "small-world" effect. It indicates how nodes are embedded in their neighborhood. The average give an overall indication of the clustering in the network.
DegreeDistributionPanel.header.title=Degree Distribution
DegreeDistributionPanel.header.description=Measures the distribution of degrees amongst all of the nodes within the network.
GraphDistancePanel.jXLabel1.text=Measures how often a node appears on shortest paths between nodes in the network.
GraphDistancePanel.jXLabel2.text=The average distance from a given starting node to all other nodes in the network.
GraphDistancePanel.jXLabel3.text=The distance from a given starting node to the farthest node from it in the network.
GraphDistancePanel.jLabel1.text=Betweenness Centrality:
GraphDistancePanel.jLabel2.text=Closeness Centrality:
GraphDistancePanel.jLabel3.text=Eccentricity:
GraphDistancePanel.header.description=The average graph-distance between all pairs of nodes. Connected nodes have graph distance 1. The diameter is the longest graph distance between any two nodes in the network. (i.e. How far apart are the two most distant nodes).
GraphDistancePanel.header.title=Distance
HitsPanel.header.description=Computes two separate values for each node. The first value (called Authority) measures how valuable information stored at that node is. The second value (called Hub) measures the quality of the nodes links.
HitsPanel.header.title=HITS
HitsPanel.epsilonLabel.text=Stopping criterion, the smaller this value, the longer convergence will take.
PageRankPanel.jXHeader1.description=Ranks nodes "pages" according to how often a user following links will non-randomly reach the node "page".
PageRankPanel.jXHeader1.title=PageRank
PageRankPanel.jXLabel1.text=Used to simulate the user randomly restarting the web-surfing.
PageRankPanel.jXLabel2.text=Stopping criterion, the smaller this value, the longer convergence will take.
ModularityPanel.header.title=Modularity
ModularityPanel.header.description=Community detection algorithm.
ConnectedComponentPanel.header.description=Determines the number of connected components in the network.
ConnectedComponentPanel.undirectedRadioButton.text=Undirected
ConnectedComponentPanel.directedRadioButton.text=Directed
ConnectedComponentPanel.header.title=Connected Components
ConnectedComponentPanel.jLabel1.text=Detects strongly & weakly connected components
ConnectedComponentPanel.jLabel2.text=Detects only weakly connected components
EigenvectorCentralityPanel.header.description=A measure of node importance in a network based on a node's connections.
EigenvectorCentralityPanel.header.title=Eigenvector Centrality
EigenvectorCentralityPanel.iterationsTextField.text=jTextField1
EigenvectorCentralityPanel.labeliterations.text=Number of iterations:
EigenvectorCentralityPanel.directedButton.text=Directed
EigenvectorCentralityPanel.undirectedButton.text=Undirected
GraphDistancePanel.normalizeButton.text=Normalize Centralities in [0,1]
ConnectedComponentUI.name=Connected Components
ConnectedComponentUI.shortDescription=Determines the number of connected components in the network.
ClusteringCoefficientUI.name=Avg. Clustering Coefficient
ClusteringCoefficientUI.shortDescription=Averages how nodes are embedded in their neighborhood.
DegreeDistributionUI.name=Degree Power Law
DegreeDistributionUI.shortDescription=Measures the distribution of degrees amongst all of the nodes within the network.
EigenvectorCentralityUI.name=Eigenvector Centrality
EigenvectorCentralityUI.shortDescription=A measure of node importance in a network based on a node's connections.
GraphDensityUI.name=Graph Density
GraphDensityUI.shortDescription=Measures how close the network is to complete.
DiameterUI.name=Network Diameter
DiameterUI.shortDescription=Network Diameter
HitsUI.name=HITS
HitsUI.shortDescription=Computes two values for each node: How valuable information stored at that node is & the quality of the nodes links.
InOutDegreeUI.name=Average Degree
InOutDegreeUI.shortDescription=Average Degree
ModularityUI.name=Modularity
ModularityUI.shortDescription=Community detection algorithm.
PageRankUI.name=PageRank
PageRankUI.shortDescription=Ranks nodes "pages" according to how often a user following links will non-randomly reach the node "page".
PathLengthUI.name=Avg. Path Length
PathLengthUI.shortDescription=Avg. Path Length
WeightedDegreeUI.name=Avg. Weighted Degree
WeightedDegreeUI.shortDescription=Avg. Weighted Degree
PageRankPanel.edgeWeightCheckbox.text=Use edge weight
ModularityPanel.useWeightCheckbox.text=Use weights
ModularityPanel.jLabel1.text=Resolution:
ModularityPanel.resolutionTextField.toolTipText=Enter a resolution parameter (1.0 is standard modularity, less than 1.0 leads to smaller communities, more to bigger)
ModularityPanel.resolutionTextField.text=1.0
ModularityPanel.labelEdgeWeight.text=Use edge weight
ModularityPanel.labelResolution.text=Lower to get more communities (smaller ones) and higher than 1.0 to get less communities (bigger ones).
ModularityPanel.labelRandomize.text=Produce a better decomposition but increases computation time