Flooding in weighted random graphs

Leo Hamed Amini, Moez Draief, Marc Lelarge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this paper, we study the impact of edge weights on distances in diluted random graphs. We interpret these weights as delays, and take them as i.i.d exponential random variables. We analyze the weighted flooding time defined as the minimum time needed to reach all nodes from one uniformly chosen node, and the weighted diameter corresponding to the largest distance between any pair of vertices. Under some regularity conditions on the degree sequence of the random graph, we show that these quantities grow as the logarithm of n, when the size of the graph n tends to infinity. We also derive the exact value for the prefactors. These allow us to analyze an asynchronous randomized broadcast algorithm for random regular graphs. Our results show that the asynchronous version of the algorithm performs better than its synchronized version: in the large size limit of the graph, it will reach the whole network faster even if the local dynamics are similar on average.

Original languageEnglish (US)
Title of host publication8th Workshop on Analytic Algorithmics and Combinatorics 2011, ANALCO 2011
PublisherSociety for Industrial and Applied Mathematics Publications
Pages1-15
Number of pages15
ISBN (Print)9781617823152
StatePublished - 2011
Externally publishedYes
Event8th Workshop on Analytic Algorithmics and Combinatorics, ANALCO 2011 - San Francisco, United States
Duration: Jan 22 2011 → …

Other

Other8th Workshop on Analytic Algorithmics and Combinatorics, ANALCO 2011
CountryUnited States
CitySan Francisco
Period1/22/11 → …

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ASJC Scopus subject areas

  • Applied Mathematics
  • Materials Chemistry
  • Discrete Mathematics and Combinatorics

Cite this

Amini, L. H., Draief, M., & Lelarge, M. (2011). Flooding in weighted random graphs. In 8th Workshop on Analytic Algorithmics and Combinatorics 2011, ANALCO 2011 (pp. 1-15). Society for Industrial and Applied Mathematics Publications.