A Study on Scale Free Social Network Evolution Model with Degree Exponent <2

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	A Study on Scale Free Social Network Evolution Model with Degree Exponent <2
	Li Zhenpeng 1; Tang Xijin 2
	2020
发表期刊	Journal of Systems Science and Complexity
ISSN	1009-6124
卷号	33 期号:1 页码:87-99
摘要	Inspired by real world phenomena,in this paper,the authors present a power law evolutional network model with degree exponent β <2.Combinatorial probabilistic method is applied to the theoretical analysis of the presented model.In the proposed model,each time stamp the number of links among a newly added node and old ones follows Poisson distribution with parameter λ and selection probability p.The authors derive exact analytical relationship between the exponent of the power law β,the parameters λ and p.Simulation result is consistent with the exponent β analytical solution.Both theoretical analysis and simulation results show that the presented network evolution model has two obvious real world social network characteristics,degree exponent β <2 and bending phenomena.
关键词	Poisson distribution scale-free network social network
收录类别	CSCD
语种	英语
CSCD记录号	CSCD:6780711
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/57760
专题	中国科学院数学与系统科学研究院
作者单位	1.School of Mathematics and Computer Sciences,Dali University 2.中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Li Zhenpeng,Tang Xijin. A Study on Scale Free Social Network Evolution Model with Degree Exponent <2[J]. Journal of Systems Science and Complexity,2020,33(1):87-99.
APA	Li Zhenpeng,&Tang Xijin.(2020).A Study on Scale Free Social Network Evolution Model with Degree Exponent <2.Journal of Systems Science and Complexity,33(1),87-99.
MLA	Li Zhenpeng,et al."A Study on Scale Free Social Network Evolution Model with Degree Exponent <2".Journal of Systems Science and Complexity 33.1(2020):87-99.