Multiplex recurrence networks
Multiplex recurrence networks
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DOI：
10.1103/physreve.97.012312
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发表时间：
2018-01-25
影响因子：
2.4
通讯作者：
Kurths, Juergen
中科院分区：
文献类型：
--
作者：
Eroglu, Deniz;Marwan, Norbert;Kurths, Juergen
为了研究多变量时间序列，我们将递归网络与多重网络方法相结合，提出了一种多重递归网络方法。这种方法的潜在用途是展示在耦合地图格子和一个典型的例子，从古植物学研究。在这两个例子中，多重递归网络中的拓扑变化允许检测其动态中的状态变化。该方法超越了花粉记录的经典解释，将植被视为一个整体，并利用不同区域植被要素动态的内在相似性。我们发现，不同的植被类型表现得更相似时，一个环境因素作为主导驱动力。
We have introduced a multiplex recurrence network approach by combining recurrence networks with the multiplex network approach in order to investigate multivariate time series. The potential use of this approach is demonstrated on coupled map lattices and a typical example from palaeobotany research. In both examples, topological changes in the multiplex recurrence networks allow for the detection of regime changes in their dynamics. The method goes beyond classical interpretation of pollen records by considering the vegetation as a whole and using the intrinsic similarity in the dynamics of the different regional vegetation elements. We find that the different vegetation types behave more similarly when one environmental factor acts as the dominant driving force.