Initialize network data.
Quality function to be optimized. Either the VOS (visualization of similarities) or the LinLog quality function can be used.
Method for normalizing edge weights in the VOS quality function.
Attraction parameter of the VOS quality function.
Maximum number of iterations of the gradient descent algorithm.
Initial step size of the gradient descent algorithm.
Minimum step size of the gradient descent algorithm.
Step size reduction of the gradient descent algorithm.
Required number of quality value improvements of the gradient descent algorithm.
Repulsion parameter of the VOS quality function.
Number of random starts of the gradient descent algorithm.
Seed of the random number generator.
Determine a layout for a network using the gradient descent VOS layout algorithm.
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Class for running the gradient descent VOS layout algorithm for network layout.