由动态信号揭示社团结构  

Referring Clustered Structure from Dynamical Signals

作　　者：杨春林[1] 张四平[2] 

机构地区：[1]兰州商学院信息工程学院计算机系,兰州730020 [2]兰州大学物理科学与技术学院,兰州730000

出　　处：《复杂系统与复杂性科学》2013年第3期20-24,共5页Complex Systems and Complexity Science

摘　　要：就一个社团网络系统,基于不同的链接,给出了观察动态信号及分析动力学变量快照的方法。结果表明如果节点能够正确排序,当网络体系处于退同步状态时,通过几张动力学变量快照就足以确定社团网络结构。此外,当社团结构演变为规则晶格时,动力学变量将表现为某种正弦波形式,这将有助于进一步揭示无序社团网络结构。For a clustered network system, based on the different links, this paper presents the method that observed dynamical signals and analyzed the snapshot of the variation of the dynamical. It is show that a few snapshots are enough to determine thecluster structure when the system becomes desynchronizedafter nodes ordered. Moreover when each cluster becomesa regular lattice, the variation of the dynamicalcan have sine wave form in each cluster. This will help to refer clustered structure of the disordered network.

关 键 词：社团结构 Rossler振子 快照 退同步 

分 类 号：O415.6[理学—理论物理]