Collective Phenomena Emerging from the Interactions between Dynamical Processes in Multiplex Networks
Collective Phenomena Emerging from the Interactions between Dynamical Processes in Multiplex Networks
复制标题
DOI：
10.1103/physrevlett.118.138302
复制
发表时间：
2017-03-31
影响因子：
8.6
通讯作者：
Latora, Vito
中科院分区：
文献类型：
--
作者：
Nicosia, Vincenzo;Skardal, Per Sebastian;Latora, Vito
我们引入了一个框架来交织不同性质的动态过程，每个过程都有自己独特的网络拓扑，使用多层网络方法。作为多个动态过程相互作用产生的集体现象的一个例子，我们研究了一个模型，其中神经动力学和营养转运是双向耦合的，这样一层转运过程的分配取决于另一层的同步程度，反之亦然。我们在数值上证明，并在解析上证明，多层耦合引起了自发的爆炸同步和分配的非均匀分布，否则在单独考虑的两个系统中不存在。我们的框架可以应用于其他两个或多个动态过程（如同步、意见形成、信息扩散或疾病传播）相互作用的情况。
We introduce a framework to intertwine dynamical processes of different nature, each with its own distinct network topology, using a multilayer network approach. As an example of collective phenomena emerging from the interactions of multiple dynamical processes, we study a model where neural dynamics and nutrient transport are bidirectionally coupled in such a way that the allocation of the transport process at one layer depends on the degree of synchronization at the other layer, and vice versa. We show numerically, and we prove analytically, that the multilayer coupling induces a spontaneous explosive synchronization and a heterogeneous distribution of allocations, otherwise not present in the two systems considered separately. Our framework can find application to other cases where two or more dynamical processes such as synchronization, opinion formation, information diffusion, or disease spreading, are interacting with each other.