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, Xijin1,3 |
| 刊名 | JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
 |
| 出版日期 | 2020-02-01 |
| 卷号 | 33期号:1页码:87-99 |
| 关键词 | Poisson distribution scale-free network social network |
| ISSN号 | 1009-6124 |
| DOI | 10.1007/s11424-020-8007-5 |
| 英文摘要 | 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. |
| WOS研究方向 | Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000520177000007 |
| 出版者 | SPRINGER HEIDELBERG |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/51016]  |
| 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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Dali Univ, Sch Math & Comp Sci, Dali 671003, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China |
| 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 & 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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