KMS Of Academy of mathematics and systems sciences, CAS
A Study on Scale Free Social Network Evolution Model with Degree Exponent <2 | |
Li Zhenpeng1; Tang Xijin2 | |
2020 | |
Source Publication | Journal of Systems Science and Complexity
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ISSN | 1009-6124 |
Volume | 33Issue:1Pages:87-99 |
Abstract | 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. |
Keyword | Poisson distribution scale-free network social network |
Indexed By | CSCD |
Language | 英语 |
CSCD ID | CSCD:6780711 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/57760 |
Collection | 中国科学院数学与系统科学研究院 |
Affiliation | 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 |
Recommended Citation 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. |
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