Observational analysis shows stationary distribution changes in complex networks, suggesting random walks require more time.
We investigate higher order random walks on complex networks for which the walker jumps among higher-order substructures. By using the binary normalization method, we obtain its stationary distribution analytically. Moreover, we derive the analytical expression of mean first passage time of higher-order random walks. Remarkably, we find that in the same circumstance, more time are required for higher-order random walk search in comparsion with random walks. Our work provides another random search navigation way on complex networks throughly deviating from random walks.
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Li et al. (2025) studied this question.
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