Self-Organization in Networks: A Data-Driven Koopman Approach

Autor:	Caro-Ruiz, Claudia, Tellez-Castro, Duvan, Pavas, Andres, Mojica-Nava, Eduardo
Rok vydání:	2017
Předmět:	Mathematics - Optimization and Control Nonlinear Sciences - Adaptation and Self-Organizing Systems Physics - Physics and Society
Druh dokumentu:	Working Paper
Popis:	Networks out of equilibrium display dynamics characterized by multiple equilibria and sudden transitions. These transitions arise when each node leaves its natural stable state and joins to an organized global activation behavior. In this paper, we study local patterns near regime shifts in Network Synchronization and Self-Organized Criticality (SOC) by a Koopman spectrum data-driven approach. To illustrate these ideas, we use synchronized behavior from an Integral-and-Fire oscillators (IFO) system and SOC in the Bak-Sneppen model. Comment: paper accepted in CCAC 2017
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1709.09576 Zobrazit plný text záznamu View this record from Arxiv