Degree distribution of a scale-free random graph model
被引:1
作者:
Tan, Li
论文数: 0引用数: 0
h-index: 0
机构:
Cent S Univ, Sch Math, Changsha 410075, Peoples R China
Cent S Univ, Sch Traff & Transportat Engn, Changsha 410075, Peoples R ChinaCent S Univ, Sch Math, Changsha 410075, Peoples R China
Tan, Li
[1
,2
]
Hou, Zhen Ting
论文数: 0引用数: 0
h-index: 0
机构:
Cent S Univ, Sch Math, Changsha 410075, Peoples R ChinaCent S Univ, Sch Math, Changsha 410075, Peoples R China
Hou, Zhen Ting
[1
]
Liu, Xin Ru
论文数: 0引用数: 0
h-index: 0
机构:
Cent S Univ, Sch Math, Changsha 410075, Peoples R ChinaCent S Univ, Sch Math, Changsha 410075, Peoples R China
Liu, Xin Ru
[1
]
机构:
[1] Cent S Univ, Sch Math, Changsha 410075, Peoples R China
[2] Cent S Univ, Sch Traff & Transportat Engn, Changsha 410075, Peoples R China
Degree distribution;
scale-free;
Markov chains;
RANDOM NETWORKS;
DEGREE SEQUENCE;
WEB;
D O I:
10.1007/s10114-012-9365-2
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
In this paper, we consider the degree distribution of a general random graph with multiple edges and loops from the perspective of probability. Based on the first-passage probability of Markov chains, we give a new and rigorous proof to the existence of the network degree distribution and obtain the precise expression of the degree distribution. The analytical results are in good agreement with numerical simulations.
机构:
Univ Sheffield, Dept Probabil & Stat, Sheffield S3 7RH, S Yorkshire, EnglandUniv Sheffield, Dept Probabil & Stat, Sheffield S3 7RH, S Yorkshire, England
机构:
Univ Sheffield, Dept Probabil & Stat, Sheffield S3 7RH, S Yorkshire, EnglandUniv Sheffield, Dept Probabil & Stat, Sheffield S3 7RH, S Yorkshire, England