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
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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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