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A Study on Scale Free Social Network Evolution Model with Degree Exponent < 2
Li, Zhenpeng1; Tang, Xijin2,3
2020-02-01
发表期刊JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
ISSN1009-6124
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 beta < 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 lambda and selection probability p. The authors derive exact analytical relationship between the exponent of the power law beta, the parameters lambda and p. Simulation result is consistent with the exponent beta 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 beta < 2 and bending phenomena.
关键词Poisson distribution scale-free network social network
DOI10.1007/s11424-020-8007-5
收录类别SCI
语种英语
WOS研究方向Mathematics
WOS类目Mathematics, Interdisciplinary Applications
WOS记录号WOS:000520177000007
出版者SPRINGER HEIDELBERG
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/51017
专题中国科学院数学与系统科学研究院
通讯作者Li, Zhenpeng
作者单位1.Dali Univ, Sch Math & Comp Sci, Dali 671003, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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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 & 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 & 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 & COMPLEXITY 33.1(2020):87-99.
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