Dynamic characteristics of motif distribution in two-phase flow phase-space complex network

• 作 者: ZhongkeGao;DanYang;NingdeJin;
• 机 构: School of Electrical Engineering and Automation Tianjin University,Tianjin 300072,China
• 出 处: The Third International Conference on Dynamics,Vibration and
• 发表日期: 2010年期

　　Recently a new framework has been proposed to construct complex network from time series based on phase-space reconstruction [Gao Z K and Jin N D.Physical Review E.2009.79: 066303: Gao Z K and Jin N D.CHAOS.2009, 19: 033137].In this paper, using the proposed network construction method, we first extract different types of Phase-Space Complex Networks (PSCN) from chaotic, periodic and white noise time series.