Movement patterns of random walkers with a turning angle preference
Abstract
An angularly biased random walk, capable of subdiffusive to superdiffusive behavior, is numerically simulated. The angular bias is brought about by mapping a beta distribution to the angles 0 to 2Ï€. Combining different parameters can produce a system with the same diffusiveness but dissimilar movement patterns.
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