中国物理B ›› 2016, Vol. 25 ›› Issue (6): 60202-060202.doi: 10.1088/1674-1056/25/6/060202

• GENERAL • 上一篇    下一篇

Degree distribution of random birth-and-death network with network size decline

Xiao-Jun Zhang(张晓军), Hui-Lan Yang(杨会兰)   

  1. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
  • 收稿日期:2016-01-04 修回日期:2016-02-04 出版日期:2016-06-05 发布日期:2016-06-05
  • 通讯作者: Xiao-Jun Zhang E-mail:sczhxj@uestc.edu.cn
  • 基金资助:

    Project supported by the National Natural Science Foundation of China (Grant No. 61273015) and the Chinese Scholarship Council.

Degree distribution of random birth-and-death network with network size decline

Xiao-Jun Zhang(张晓军), Hui-Lan Yang(杨会兰)   

  1. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
  • Received:2016-01-04 Revised:2016-02-04 Online:2016-06-05 Published:2016-06-05
  • Contact: Xiao-Jun Zhang E-mail:sczhxj@uestc.edu.cn
  • Supported by:

    Project supported by the National Natural Science Foundation of China (Grant No. 61273015) and the Chinese Scholarship Council.

摘要:

In this paper, we provide a general method to obtain the exact solutions of the degree distributions for random birth-and-death network (RBDN) with network size decline. First, by stochastic process rules, the steady state transformation equations and steady state degree distribution equations are given in the case of m ≥ 3 and 0< p< 1/2, then the average degree of network with n nodes is introduced to calculate the degree distributions. Specifically, taking m=3 for example, we explain the detailed solving process, in which computer simulation is used to verify our degree distribution solutions. In addition, the tail characteristics of the degree distribution are discussed. Our findings suggest that the degree distributions will exhibit Poisson tail property for the declining RBDN.

关键词: random birth-and-death network (RBDN), Markov chain, generating function, degree distribution

Abstract:

In this paper, we provide a general method to obtain the exact solutions of the degree distributions for random birth-and-death network (RBDN) with network size decline. First, by stochastic process rules, the steady state transformation equations and steady state degree distribution equations are given in the case of m ≥ 3 and 0< p< 1/2, then the average degree of network with n nodes is introduced to calculate the degree distributions. Specifically, taking m=3 for example, we explain the detailed solving process, in which computer simulation is used to verify our degree distribution solutions. In addition, the tail characteristics of the degree distribution are discussed. Our findings suggest that the degree distributions will exhibit Poisson tail property for the declining RBDN.

Key words: random birth-and-death network (RBDN), Markov chain, generating function, degree distribution

中图分类号:  (Markov processes)

  • 02.50.Ga
02.60.Cb (Numerical simulation; solution of equations) 64.60.aq (Networks)