Lag-mediated control of explosive synchronization transitions in adaptive multilayer networks with higher-order interactions

Recent findings suggest that higher-order (group) interactions provide a general pathway to explosive phenomena in networks of coupled oscillators. While these abrupt, first-order transitions, termed explosive synchronization, are of significant theoretical interest, they are often undesirable and potentially dangerous in many real-world systems. Motivated by this, we investigate a control mechanism to suppress explosive synchronization in adaptive multilayer networks incorporating higher-order interactions by introducing a phase lag into the system. By appropriately tuning the adaptation exponents and the phase frustration parameter, we demonstrate that phase lag effectively mitigates explosive behavior even in the presence of higher-order interactions, converting the transition from first order to second order. As the phase lag increases, the hysteresis width progressively narrows, and the abrupt transition gives way to a smooth, continuous one. This taming effect remains robust in real-world networks, such as the Macaque brain network. Overall, our study explores an effective control strategy for explosive synchronization and advances our understanding of how critical collective dynamics can be regulated in both synthetic and biological complex systems.

Authors

Institutions

Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2025-09-01
DOI
https://doi.org/10.1063/5.0289362
Citations
1
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
1.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lag-mediated control of explosive synchronization transitions in adaptive multilayer networks with higher-order interactions

Dibakar Ghosh, Manish Dev Shrimali, Md Sayeed Anwar, Richita Ghosh
1 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Nonlinear Dynamics and Pattern Formation
1.49
article

Lag-mediated control of explosive synchronization transitions in adaptive multilayer networks with higher-order interactions

Dibakar Ghosh, Manish Dev Shrimali, Md Sayeed Anwar, Richita Ghosh
article en
1 citations

Abstract

Recent findings suggest that higher-order (group) interactions provide a general pathway to explosive phenomena in networks of coupled oscillators. While these abrupt, first-order transitions, termed explosive synchronization, are of significant theoretical interest, they are often undesirable and potentially dangerous in many real-world systems. Motivated by this, we investigate a control mechanism to suppress explosive synchronization in adaptive multilayer networks incorporating higher-order interactions by introducing a phase lag into the system. By appropriately tuning the adaptation exponents and the phase frustration parameter, we demonstrate that phase lag effectively mitigates explosive behavior even in the presence of higher-order interactions, converting the transition from first order to second order. As the phase lag increases, the hysteresis width progressively narrows, and the abrupt transition gives way to a smooth, continuous one. This taming effect remains robust in real-world networks, such as the Macaque brain network. Overall, our study explores an effective control strategy for explosive synchronization and advances our understanding of how critical collective dynamics can be regulated in both synthetic and biological complex systems.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 35(9)
Indian Statistical Institute (IN), Central University of Rajasthan (IN)
Openalex Percentile: Top 13%
Nonlinear Dynamics and Pattern Formation
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.