摘要
网络拓扑是复杂网络分析、预测和控制的必要条件,本文针对复杂网络拓扑辨识方法的研究,首先对复杂网络拓扑辨识问题进行了描述,然后对近年提出的基于同步方法、基于压缩感知理论方法等拓扑辨识方法进行了全面回顾,讨论了网络拓扑辨识的步骤。在此基础上,总结分析了已有方法存在的问题,对复杂网络拓扑辨识未来的研究方向进行了讨论。
The network topology is a necessary condition for complex network analysis,forecast and control.In this paper,the complex network topology identification problem is described for the research of complex network topology identification method.Then,the recently reported researches on the topology identification are reviewed comprehensively,and the steps of network topology identification are discussed.On this basis,the problems existing in the existing methods are analyzed,and the future research directions on complex network topology identification are pointed out.
出处
《西安理工大学学报》
CAS
北大核心
2017年第1期80-85,共6页
Journal of Xi'an University of Technology
基金
陕西省重大基础研究资助项目(2016ZDJC-01)
陕西省重点科技创新团队资助项目(2013KCT-04)
关键词
复杂网络
拓扑辨识
同步
压缩感知
complex networks
topology identification
synchronization
compressive sensing