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Updated: Jun 22, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Transient disorder in dynamically growing networks.

Rui Yang¹, Liang Huang, Ying-Cheng Lai

¹Department of Electrical Engineering, Arizona State University, Tempe, Arizona 85287, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|June 13, 2009

Summary

This summary is machine-generated.

Infectious spread on networks can exhibit transient disorder. A network

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Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Area of Science:

Complex systems
Network science
Dynamical systems

Background:

Understanding how disturbances propagate through large networks is crucial.
The collective dynamics of evolving networks can exhibit complex temporal patterns.

Purpose of the Study:

To investigate the temporal evolution of order in a spreading process on a network.
To quantify network order using synchronizability and identify transient disorder phenomena.

Main Methods:

Modeling a spreading process on a network where infected nodes form a dynamic entity.
Utilizing synchronizability as a quantitative measure of collective order.
Performing physical analyses and numerical simulations.

Main Results:

A peak in disorder (minimum synchronizability) can occur at an intermediate time during the spread.
This transient disorder phenomenon is observed in both regular and complex network topologies.
The system eventually settles into a more ordered steady state after the transient phase.

Conclusions:

Spreading processes on networks can display a temporary increase in disorder before reaching a stable state.
The timing and extent of this transient disorder are influenced by network topology.
Synchronizability provides a valuable metric for characterizing the order dynamics in evolving networks.