多路递归网络
Multiplex Recurrence Networks
摘要：
本文将递归网络与多重网络方法相结合，提出了一种新的多重递归网络（MRN）方法来研究多变量时间序列。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。该方法超越了传统的解释花粉记录，考虑植被作为一个整体，并利用内在的相似性，在不同的区域植被要素的动态。我们发现，不同的植被类型表现更相似时，一个环境因素作为主导驱动力。
英文摘要：
We have introduced a novel multiplex recurrence network (MRN) 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 similar when one environmental factor acts as the dominant driving force.
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