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Novel dynamic evolution model based on improved cellular automata in hierarchical complex networks

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成果类型:
期刊论文
作者:
Jianzhi Jin;Yuhua Liu;Kaihua Xu;Fang Hu
通讯作者:
Liu, Y.(yhliu@mail.ccnu.edu.cn)
作者机构:
[Fang Hu; Jianzhi Jin; Yuhua Liu] Department of Computer Science, Central China Normal University, Wuhan, 430079, China
[Kaihua Xu] College of Physical Science and Technology, Central China Normal University, Wuhan, 430079, China
通讯机构:
Department of Computer Science, Central China Normal University, China
语种:
英文
关键词:
Community structures;Complex network models;Current research status;Evolution modeling;Hierarchical community structures;Network structures;Power-law behavior;Scale free networks;Cellular automata;Complex networks;Electric network topology;Social sciences;Computer simulation
期刊:
Journal of Communications
ISSN:
1796-2021
年:
2013
卷:
8
期:
12
页码:
862-869
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
计算机学院
摘要:
Modeling of network structures has been a popular issue in the study of complex networks. The use of complex network theory in modeling complex networks has gradually become a trend. In this study, the current research status of the modeling of complex networks was synthesized based on the BA scale-free network model. The advantages and disadvantages of most mainstream models were integrated, and a complex network model was established from the view of hierarchical community structures. Furthermore, a dynamic evolution network model was built by establishing a new evolution rule of cellular au...

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