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Mean-field and Fluctuations for Hub Dynamics in Heterogeneous Random Networks

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Author(s):
Bian, Zheng ; Lamb, Jeroen S. W. ; Pereira, Tiago
Total Authors: 3
Document type: Journal article
Source: Communications in Mathematical Physics; v. 406, n. 7, p. 42-pg., 2025-07-01.
Abstract

We study a class of heterogeneous random networks, where the network degree distribution follows a power-law, and each node dynamics is a random dynamical system, interacting with neighboring nodes via a random coupling function. We characterize the hub behavior by the mean-field, subject to statistically controlled fluctuations. In particular, we prove that the fluctuations are small over exponentially long time scales and obtain Berry-Esseen estimates for the fluctuation statistics at any fixed time. Our results provide an explanation for several numerical observations, namely, a scaling relation between system size and frequency of large fluctuations, the system size induced desynchronization, and the Gaussian behavior of the fluctuations. (AU)

FAPESP's process: 21/11091-3 - Probabilistic reduction principle in complex network dynamics
Grantee:Zheng Bian
Support Opportunities: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 18/26107-0 - Dynamics of complex heterogeneous networks: reduction techniques
Grantee:Zheng Bian
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC