scholarly journals Global analysis of epidemic spreading with a general feedback mechanism on complex networks

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Shouying Huang ◽  
Fengde Chen ◽  
Yanhong Zhang
Keyword(s):  
Complex Networks ◽  
Global Analysis ◽  
Feedback Mechanism ◽  
Epidemic Spreading

scholarly journals Control of epidemic spreading on complex networks by local traffic dynamics

2011 ◽  
Vol 84 (4) ◽  
Author(s):  
Han-Xin Yang ◽  
Wen-Xu Wang ◽  
Ying-Cheng Lai ◽  
Yan-Bo Xie ◽  
Bing-Hong Wang
Keyword(s):  
Complex Networks ◽  
Epidemic Spreading ◽  
Traffic Dynamics

Global analysis of an SIS model with an infective vector on complex networks

2012 ◽  
Vol 13 (2) ◽  
pp. 543-557 ◽  
Author(s):  
Yi Wang ◽  
Zhen Jin ◽  
Zimo Yang ◽  
Zi-Ke Zhang ◽  
Tao Zhou ◽  
...  
Keyword(s):  
Complex Networks ◽  
Global Analysis ◽  
Sis Model

scholarly journals Modeling Epidemic Spreading in Complex Networks: Concurrency and Traffic

2011 ◽  
pp. 435-462 ◽  
Author(s):  
Sandro Meloni ◽  
Alex Arenas ◽  
Sergio Gómez ◽  
Javier Borge-Holthoefer ◽  
Yamir Moreno
Keyword(s):  
Complex Networks ◽  
Epidemic Spreading

scholarly journals Unification of theoretical approaches for epidemic spreading on complex networks

2017 ◽  
Vol 80 (3) ◽  
pp. 036603 ◽  
Author(s):  
Wei Wang ◽  
Ming Tang ◽  
H Eugene Stanley ◽  
Lidia A Braunstein
Keyword(s):  
Complex Networks ◽  
Epidemic Spreading ◽  
Theoretical Approaches

Research on SIQRS Spreading Dynamic Model with Feedback Mechanism on Scale-Free Networks

2014 ◽  
Vol 989-994 ◽  
pp. 4524-4527
Author(s):  
Tao Li ◽  
Yuan Mei Wang ◽  
You Ping Yang
Keyword(s):  
Dynamic Model ◽  
Mean Field Theory ◽  
Mean Field ◽  
Feedback Mechanism ◽  
Epidemic Spreading ◽  
Scale Free ◽  
Spreading Dynamics ◽  
Scale Free Networks ◽  
The Mean ◽  
The Relationship

A modified spreading dynamic model with feedback-mechanism based on scale-free networks is presented in this study. Using the mean field theory, the spreading dynamics of the model is analyzed. The spreading threshold and equilibriums are derived. The relationship between the spreading threshold, the epidemic steady-state and the feedback-mechanism is analyzed in detail. Theoretical results indicate the feedback-mechanism can increase the spreading threshold, resulting in effectively controlling the epidemic spreading.

Analysis of epidemic spreading with feedback mechanism in weighted networks

2015 ◽  
Vol 08 (01) ◽  
pp. 1550007 ◽  
Author(s):  
Jiancheng Zhang ◽  
Jitao Sun
Keyword(s):  
Local Stability ◽  
Transmission Rate ◽  
Feedback Mechanism ◽  
Asymptotically Stable ◽  
Epidemic Spreading ◽  
Epidemic Threshold ◽  
Globally Asymptotically Stable ◽  
Weighted Networks ◽  
Disease Free ◽  
Good Agreement

In this paper, we investigate a new model with a generalized feedback mechanism in weighted networks. Compare to previous models, we consider the initiative response of people and the important impact of nodes with different edges on transmission rate as epidemics prevail. Furthermore, by constructing Lyapunov function, we prove that the disease-free equilibrium E0 is globally asymptotically stable as the epidemic threshold R* < 1. When R* > 1, we obtain the permanence of epidemic and the local stability of endemic equilibrium E*. Finally, one can find a good agreement between numerical simulations and our analytical results.

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