4. Info Editor

This sub-window is divided in four tabs : Property, Element, Hierarchy, Statistics (not displayed in the standard version).

Property

This window enables to display properties of nodes and edges as table. It is composed of two parts, the first one displays all the values of nodes or edges in text format using spreed sheets. It is possible to display only the values of selected elements by using the filter option. The user can modify directly a value by clicking on the value in the table. It is possible to set all the nodes or edges value with the “Set all” buttons. If the filter mode is selected, this button will only affect the selected values. An other possibility is to set to the labels the property values by pushing the “To labels” button. The second part is a list of all local and inherited properties of a graph. An inherited property is a property which belongs to a graph upper in the hierarchy of graphs (see Hierachy tab).

Element

This tab shows informations about an element of the graph, node or edge, previously "pointed" using the mouse toolbar operation. At the top, you can find the type of the element and its “id”. To follow, here is the table displaying the the elements properties and associated values. It is possible to change the properties with this table.

Hierarchy

This tab shows the inclusion relationships betweeen the different existing subgraphs and groups of a graph. All of them could be created with the Tulip tools. This hierarchy of graphs gives the results of computing from the algorithms of clustering too.

By a “right click”(CTRL click on Mac) in the hierarchy display, you can display a pop-up menu allowing to remove, clone, rename, a graph (subgraph or group).

Statistics (not available in standard version)

The statistics panel is composed of three main parts : Computation, Display and Clustering. It allows the user to compute a histogram or a scatter plot from a graph and one up to three metrics. The display part of the panel is used to display on screen the statistics main values (as Average point, Standard deviation, Bounding box, Linear Regression and Eigenvectors). The clustering part is used to display a clustering plane from a statistical value (previously computed) and to separate the graph into two new clusters : what is above the clustering plane (sup) and what is under the clustering plane (inf)

Figure 2.1. Computation Tab

Computation Tab

Figure 2.2. Display Tab

Display Tab

Figure 2.3. ClusteringTab

ClusteringTab