TY - JOUR
T1 - Double explosive transition in the synchronization of multilayer networks
AU - Wu, Tianwei
AU - Huo, Siyu
AU - Alfaro-Bittner, K.
AU - Boccaletti, S.
AU - Liu, Zonghua
N1 - Publisher Copyright:
© 2022 authors. Published by the American Physical Society.
PY - 2022/7
Y1 - 2022/7
N2 - We give evidence that consecutive explosive transitions may occur in two-layered networks, when a dynamical layer made of an ensemble of networking phase oscillators interacts with an environmental layer of oscillators which are in a state of approximate synchronization. Under these conditions, the interlayer coupling induces two consecutive explosive transitions in the dynamical layer, each one associated with a hysteresis loop. We also show that the same phenomenon can be observed when the environmental layer is simplified into a single node with phase lag. Theoretical arguments unveil that the mechanisms at the basis of the two transitions are in fact different, with the former originating from a coupling-amplified disorder and the latter originating from a coupling-induced synchronization. We discuss the relevance of the observed state in brain dynamics and show how it may emerge in a real brain network.
AB - We give evidence that consecutive explosive transitions may occur in two-layered networks, when a dynamical layer made of an ensemble of networking phase oscillators interacts with an environmental layer of oscillators which are in a state of approximate synchronization. Under these conditions, the interlayer coupling induces two consecutive explosive transitions in the dynamical layer, each one associated with a hysteresis loop. We also show that the same phenomenon can be observed when the environmental layer is simplified into a single node with phase lag. Theoretical arguments unveil that the mechanisms at the basis of the two transitions are in fact different, with the former originating from a coupling-amplified disorder and the latter originating from a coupling-induced synchronization. We discuss the relevance of the observed state in brain dynamics and show how it may emerge in a real brain network.
UR - https://www.scopus.com/pages/publications/85135965424
U2 - 10.1103/PhysRevResearch.4.033009
DO - 10.1103/PhysRevResearch.4.033009
M3 - 文章
AN - SCOPUS:85135965424
SN - 2643-1564
VL - 4
JO - Physical Review Research
JF - Physical Review Research
IS - 3
M1 - 033009
ER -