Efficient network exploration by means of resetting self-avoiding random walkers
The self-avoiding random walk (SARW) is a stochastic process whose state variable avoids returning to previously visited states. This non-Markovian feature has turned SARWs a powerful tool for modeling a plethora of relevant aspects in network science, such as network navigability, robustness and re...
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Veröffentlicht in: | Journal of physic, complexity complexity, 2023-12, Vol.4 (4), p.4 |
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Sprache: | eng |
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