中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Study on Scale Free Social Network Evolution Model with Degree Exponent <2

文献类型:期刊论文

作者Li Zhenpeng2; Tang Xijin1
刊名Journal of Systems Science and Complexity
出版日期2020
卷号33期号:1页码:87-99
关键词Poisson distribution scale-free network social network
ISSN号1009-6124
英文摘要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.
语种英语
CSCD记录号CSCD:6780711
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/57759]  
专题中国科学院数学与系统科学研究院
作者单位1.中国科学院数学与系统科学研究院
2.School of Mathematics and Computer Sciences,Dali University
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.

入库方式: OAI收割

来源:数学与系统科学研究院

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