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BayesiaLabBayesiaLab User GuideMenusViewGraph LayoutGenetic Grid Layout

Genetic Grid Layout

Context & Objective

The Genetic Grid Layout algorithm is useful for highly connected networks. The algorithm evaluates the layout based on the following objectives:

  • Position parent nodes above their child nodes.
  • Maximize verticality of arcs.
  • Minimize the overlap of nodes.
  • Minimize the crossing of arcs.
  • Minimize the overlap of arcs and nodes.

In Validation Mode and while the Arc Analysis Mode is active, the Genetic Grid Layout algorithm has an additional objective: it positions the nodes so that the arc lengths are inversely proportional to the strength of the arc. This means the shorter the arcs, the stronger the relationship between the nodes.

Usage

  • Menus > View > Layout > Genetic Grid Layout >:
    • Top-Down Repartition Function.
    • Bottom-Up Repartition Function.

Settings

Under Menus > Window > Preferences > Automatic Layout > Genetic Layout Algorithm > Evaluation Function, you can specify weights for the elements of the evaluation function.

Genetic Layout evaluation function preferences
Radial LayoutDistance Mapping