Abstract

We consider configuration graphs with N vertices, whose degrees are independent and identically distributed according to an unknown distribution law that depends on an arbitrary slowly varying function. The degree of each vertex is equal to the number of incident 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. We study the subset of such random graphs under the condition that the sum of vertex degrees is known and it is equal to n. The paper finds the limit distributions of the maximum vertex degree and the number vertices with a given degree as N, n → ∞ in such a way that 0 < C 1 ≤ n/N ≤ C 2 < ∞.

Highlights

  • We consider configuration graphs with N vertices, whose degrees are independent and identically distributed according to an unknown distribution law that depends on an arbitrary slowly varying function

  • We study the subset of such random graphs under the condition that the sum of vertex degrees is known and it is equal to n

  • The paper finds the limit distributions of the maximum vertex degree and the number vertices with a given degree as N, n → ∞ in such a way that 0 < C1 n/N C2 < ∞

Read more

Summary

Introduction

We consider configuration graphs with N vertices, whose degrees are independent and identically distributed according to an unknown distribution law that depends on an arbitrary slowly varying function. ON THE ASYMPTOTICS OF THE DEGREE STRUCTURE OF CONDITIONAL INTERNET GRAPHS We study the subset of such random graphs under the condition that the sum of vertex degrees is known and it is equal to n. Установлено, что число узлов, степени которых равны k, при k → ∞ пропорционально k−g, где g – положительный параметр. В статье [3] впервые рассматривались условные Интернет-графы при условии, что сумма степеней вершин известна и равна n, а распределение (1) задавалось следующим образом: pk

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.