中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Complex Networks from Colored Gaussian Noise

文献类型:期刊论文

作者Ai, Bao-quan2; Shao, Zhi-Gang2; Ao, Bin1,3; Yang, Lei1,3
刊名JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN
出版日期2011-07-01
卷号80页码:4
关键词network noise time series
ISSN号0031-9015
DOI10.1143/JPSJ.80.074001
英文摘要On the basis of recent work [L. Lacasa, B. Luque, F. Ballesteros, J. Luque, and J. Carlos Nuno: Proc. Natl. Acad. Sci. U.S.A. 105 (2008) 4972], we extend the study to construct complex networks from colored Gaussian noise (CGN) using the visibility algorithm. It is found that as the correlation time of CGN increases, the corresponding complex network will change from an almost exponential network to an almost scale-free one. The associated network for CGN is always highly clustered, and it has a hierarchical structure and an emergent community structure. The network for large correlation time shows a small-world effect in addition to being almost scale-free.
WOS关键词VISIBILITY GRAPH ; TIME-SERIES ; COMMUNITY STRUCTURE ; GROWING NETWORKS ; HIERARCHICAL ORGANIZATION ; EVOLUTION
资助项目South China Normal University[S53003] ; Foundation for Distinguished Young Talents in Higher Education of Guangdong, China[LYM10065] ; Chinese Academy of Sciences[XDA01020304] ; China National Natural Science Foundation[91026005]
WOS研究方向Physics
语种英语
WOS记录号WOS:000292590100016
出版者PHYSICAL SOC JAPAN
资助机构South China Normal University ; Foundation for Distinguished Young Talents in Higher Education of Guangdong, China ; Chinese Academy of Sciences ; China National Natural Science Foundation
源URL[http://119.78.100.186/handle/113462/34870]  
专题近代物理研究所_计算物理研究室
通讯作者Shao, Zhi-Gang
作者单位1.Lanzhou Univ, Chinese Acad Sci, Inst Modern Phys, Lanzhou 730000, Peoples R China
2.S China Normal Univ, Sch Phys & Telecommun Engn, Inst Condensed Matter Phys, Lab Quantum Informat Technol, Guangzhou 510006, Guangdong, Peoples R China
3.Lanzhou Univ, Dept Phys, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Ai, Bao-quan,Shao, Zhi-Gang,Ao, Bin,et al. Complex Networks from Colored Gaussian Noise[J]. JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN,2011,80:4.
APA Ai, Bao-quan,Shao, Zhi-Gang,Ao, Bin,&Yang, Lei.(2011).Complex Networks from Colored Gaussian Noise.JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN,80,4.
MLA Ai, Bao-quan,et al."Complex Networks from Colored Gaussian Noise".JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN 80(2011):4.

入库方式: OAI收割

来源:近代物理研究所

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