Title :
Controlling the spreading in small-world evolving networks: stability, oscillation, and topology
Author :
Li, Xiang ; Wang, Xiaofan
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., China
fDate :
3/1/2006 12:00:00 AM
Abstract :
The spreading of viruses, diseases, and even disasters (such as power blackouts and financial crises) in many large-scale and small-world networks is one of the mostly concerned issues today. In this note, we study general spreading dynamical behaviors in small-world evolving networks when control strategies are applied to suppress the propagation of diseases, viruses, and disasters. After proposing a novel Watts-Strogatz (W-S) spreading model to capture the general spreading mechanism in small-world networks, we investigate the stability and Hopf bifurcations of delay-controlled spreading models with linear and nonlinear feedback controllers, where parameters of small-world rewiring probability, feedback control gain, and time delay are analyzed for the oscillating behaviors. We conclude that the oscillatory spreading phenomena in delay-controlled small-world networks are topologically inherent.
Keywords :
bifurcation; control system analysis; delays; feedback; linear systems; nonlinear control systems; probability; Hopf bifurcations; Watts-Strogatz spreading model; delay-controlled spreading models; disease propagation; financial crises; general spreading dynamical behaviors; large-scale networks; linear feedback controller; nonlinear feedback controller; oscillatory spreading phenomena; power blackouts; small-world evolving networks; time delay; virus propagation; Bifurcation; Delay effects; Diseases; Feedback control; Intelligent networks; Large-scale systems; Network topology; Stability; Telecommunication network topology; Viruses (medical); Delayed feedback control; epidemic dynamics; network evolution; random graph; small-world networks; spreading phenomena;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2005.864203