"Spectrally gapped" random walks on networks: a Mean First Passage Time formula
Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli, Pierpaolo Vivo
SciPost Phys. 11, 088 (2021) · published 4 November 2021
- doi: 10.21468/SciPostPhys.11.5.088
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Abstract
We derive an approximate but explicit formula for the Mean First Passage Time of a random walker between a source and a target node of a directed and weighted network. The formula does not require any matrix inversion, and it takes as only input the transition probabilities into the target node. It is derived from the calculation of the average resolvent of a deformed ensemble of random sub-stochastic matrices $H=\langle H\rangle +\delta H$, with $\langle H\rangle$ rank-$1$ and non-negative. The accuracy of the formula depends on the spectral gap of the reduced transition matrix, and it is tested numerically on several instances of (weighted) networks away from the high sparsity regime, with an excellent agreement.
Cited by 6
Authors / Affiliations: mappings to Contributors and Organizations
See all Organizations.- 1 Silvia Bartolucci,
- 1 2 3 Fabio Caccioli,
- 4 Francesco Caravelli,
- 5 Pierpaolo Vivo
- 1 University College London [UCL]
- 2 London Mathematical Laboratory [LML]
- 3 London School of Economics and Political Science [LSE]
- 4 Los Alamos National Laboratory [LANL]
- 5 King's College London [KCL]