Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Estimating Fiedler value on large networks based on random walk observations

Alexandre Reiffers-Masson 1 Thierry Chonavel 2, 3 Yezekael Hayel
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : In this paper, we describe an iterative scheme which is able to estimate the Fiedler value of a network when the topology is initially unknown. The only available information is the one obtained through a random walk process over the network. Our algorithm is based on the Rayleigh quotient optimization problem and the theory of stochastic approximation. We explain the different tools used to construct our algorithm and we describe our iterative scheme. Finally, we illustrate its performance through a numerical study. Index Terms Fiedler value, stochastic approximation, random walk based observations.
Complete list of metadata

Cited literature [25 references]  Display  Hide  Download
Contributor : Alexandre Reiffers-Masson <>
Submitted on : Wednesday, October 21, 2020 - 6:26:59 PM
Last modification on : Wednesday, July 21, 2021 - 7:44:01 AM
Long-term archiving on: : Friday, January 22, 2021 - 7:01:39 PM


Files produced by the author(s)


  • HAL Id : hal-02974433, version 1


Alexandre Reiffers-Masson, Thierry Chonavel, Yezekael Hayel. Estimating Fiedler value on large networks based on random walk observations. 2020. ⟨hal-02974433⟩



Record views


Files downloads