CSpace
A Study on Scale Free Social Network Evolution Model with Degree Exponent <2
Li Zhenpeng1; Tang Xijin2
2020
Source PublicationJournal of Systems Science and Complexity
ISSN1009-6124
Volume33Issue:1Pages:87-99
AbstractInspired 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.
KeywordPoisson distribution scale-free network social network
Indexed ByCSCD
Language英语
CSCD IDCSCD:6780711
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/57760
Collection中国科学院数学与系统科学研究院
Affiliation1.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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li Zhenpeng]'s Articles
[Tang Xijin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li Zhenpeng]'s Articles
[Tang Xijin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li Zhenpeng]'s Articles
[Tang Xijin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.