Abstract

We consider a configuration graph with N vertices, whose degrees are independent and identically distributed according to power-law distribution with the parameter τ = τ(N). They are equal to the number of each vertex’s numbered semi-edges. The graph is constructed by joining all of the semi-edges pairwise equiprobably to form edges. Such models can be used to adequately describe various communication networks and Internet topologies. The properties of the graph depend on the behaviour of the parameter τ. The paper investigates the conditions under which a random configuration graph is asymptotically connected as N → ∞.

Highlights

  • We consider a configuration graph with N vertices, whose degrees are independent and identically distributed according to power-law distribution with the parameter τ = τ (N )

  • The graph is constructed by joining all of the semi-edges pairwise equiprobably to form edges

  • The properties of the graph depend on the behaviour of the parameter τ

Read more

Summary

Introduction

Обозначим AN событие, состоящее в том, что граф не связен. В статье [6] предложено для этого использовать графы, в которых распределение (1) имеет вид: pk 1 + 1)τ , k где τ > 0. Из (4) легко следует, что при k → ∞ Из результатов [2] следует, что конфигурационный граф с распределением (4) асимптотически связен, если 0 < τ < 1/2.

Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.