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Contents

  • Modeling Mode: mode where the graph visualization panel is visible and where actions of modeling and learning are carried out.
     
  • Validation Mode: mode where the graph visualization panel and the monitor visualization panel are visible and where actions of validation and exploitation of the networks are carried out.
     
  • Automatic Positioning: uses original algorithms to try to layout the network as well as possible. A slider is added to the tool bar to set the arc length.
    • The symmetric algorithm uses repulsive and attractive forces to define the graph layout. It's a very effective algorithm that returns good graph layouts for moderately connected graphs.The Settings allows modifying the parameters of this algorithm.
    • The Dynamic algorithm is particularly efficient with weakly connected networks. The goal of this algorithm is to try to:
      • set the parents above their children,
      • avoid crossing arcs,
      • set the arc length proportional its force (the stronger the probabilistic relation represented by the arc is, the shorter the arc is) when the automatic positioning is launched within the Validation mode jointly with the Arc Analysis option active.
    • The Genetic Algorithm is useful for highly connected networks. This algorithm takes into account an evaluation function that is based on:
      • the relationship between the nodes (the parents try to get a position above their children),
      • The verticality of the arcs
      • the overlapping of the nodes
      • the force of the arcs when the automatic positioning is launched within the Validation mode jointly with the Arc Analysis option active;
      • the intersection of the arcs with other arcs and with the nodes. 

        The Settings allows to weight the evaluation function parameters and to change those corresponding to the genetic algorithm.  
    • The Mutual information mapping is only available for fully unconnected networks with an associated database. This layouting algorithm computes the mutual information matrix and then uses the genetic algorithm to try to find a global node mapping where the proximity of two nodes is inversely proportional to their mutual information.The Settings allows weighting the genetic algorithm parameters.
    • The Random positioning allows setting a random position to each node.
  • Zoom: zooming the nodes
    •   Zoom in: increase the size of the network. If a node or a group of nodes is selected, the selection will be centered in the window (if possible).
    •   Zoom out: decrease the size of the network. If a node or a group of nodes is selected, the selec- tion will be centered in the window (if possible).
    •   Default zoom: go back to the default zoom level. If a node or a group of nodes is selected, the selection will be centered in the window (if possible).
    •   Best fit: move and adjust the size of the network in order to fit the window. If a node or a group of nodes is selected, the selection will fit the window.
       
  • Center: center the network in the window.
     
  •  Horizontal mirror: perform a horizontal inversion of the positions of the nodes.
     
  • Vertical mirror: perform a vertical inversion of the positions of the nodes.
     
  • Top left corner: move the graph in the top left corner of the window.
     
  • Hide Node Names: the name of the nodes is no more displayed under them.
     
  •  Hide information: hide comment indicators of nodes and arcs as well as the missing values, filtered state and error indicators of each node.
     
  •  Display node comments: display the comment of the nodes over them.
     
  •  Display arc comments: display the comment of the arcs over them.
     
  •  Display node tags: display the color tags of the nodes.
     
  •  Display arc tags: display the color tags of the arcs.
     
  •  Display the node's image: display the image associated to a node instead of its default representation.
     
  •  Display grid: display the positioning grid. The spacing can be modified through the display preferences.
     
  •  Display the network's skeleton: hide the head of the arcs in the network in order to avoid invalid causal interpretation with the direction of the arcs. Only in Validation mode.