ICASSP 2021accepted0 citations

Estimating Fiedler Value on Large Networks Based on Random Walk Observations

Alexandre Reiffers-Masson, Thierry Chonavel, Yezekael Hayel

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.

BibTeX
@inproceedings{icassp2021_estimatingfiedle,
  title = {Estimating Fiedler Value on Large Networks Based on Random Walk Observations},
  author = {Alexandre Reiffers-Masson and Thierry Chonavel and Yezekael Hayel},
  booktitle = {ICASSP 2021},
  year = {2021}
}
Estimating Fiedler Value on Large Networks Based on Random Walk Observations · ICASSP 2021