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On the Escape Probability Estimation in Large Graphs

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Abstract

We consider the large graphs as the object of study and deal with the problem of escape probability estimation. Generally, the required characteristic cannot be calculated analytically and even numerically due to the complexity and large size of the investigation object. The purpose of this paper is to offer the effective method for estimating the probability that the random walk on graph first enters a node b before returning into starting node a. Regenerative properties of the random walk allow using an accelerated method for the cycles simulation based on the splitting technique. The results of numerical experiments confirm the advantages of the proposed method.
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Dates and versions

hal-02413569 , version 1 (16-12-2019)

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Konstantin Avrachenkov, Alexandra Borodina. On the Escape Probability Estimation in Large Graphs. IEEE FRUCT 2019 - 24th Conference of Open Innovations Association FRUCT, Apr 2019, Moscow, Russia. ⟨10.23919/FRUCT.2019.8711919⟩. ⟨hal-02413569⟩
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