Epidemic spreading on a scale-free network with awareness

2012 ◽  
Vol 21 (10) ◽  
pp. 100207 ◽  
Author(s):  
Yan-Ling Lu ◽  
Guo-Ping Jiang ◽  
Yu-Rong Song
Keyword(s):  
Scale Free Network ◽  
Epidemic Spreading ◽  
Scale Free ◽  
Free Network

scholarly journals Periodic Epidemic Spreading over Complex Systems: Modeling and Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Zhe Wang ◽  
Hong Yao ◽  
Haiyan Han ◽  
Jun Du ◽  
Chao Ding
Keyword(s):  
Theoretical Calculations ◽  
Scale Free Network ◽  
Epidemic Spreading ◽  
Theoretical Derivation ◽  
Modified Model ◽  
Modeling And Analysis ◽  
Scale Free ◽  
Spreading Model ◽  
Spreading Dynamics ◽  
Free Network

It is well observed that some infectious diseases show a feature of periodicity; that is, the disease may prevail during a certain season and vanish afterwards. In the effort of understanding this specific phenomenon, in this paper, we propose a spreading model with a time-variant infectivity function considering both the features of periodicity and agent variability. We apply the modified model to a scale-free network frame with tunable power-law coefficient to find out the characteristics of periodic spreading dynamics. Our work consists of both theoretical derivation and a series of corresponding numerical simulations in order to find out the influence of the parameters of both network topology and the modified model on spreading dynamics in the underlined networks. The experiments prove the success of our model in producing a periodic behavior of spreading, and the results agree well with theoretical calculations.

Multi-granularity immunization strategy based on SIRS model in scale-free network

2015 ◽  
Vol 29 (08) ◽  
pp. 1550023 ◽  
Author(s):  
Fuzhong Nian ◽  
Ke Wang
Keyword(s):  
Warning Signal ◽  
Threshold Value ◽  
Scale Free Network ◽  
Epidemic Outbreak ◽  
Epidemic Spreading ◽  
Immunization Strategy ◽  
Scale Free ◽  
Sirs Model ◽  
Free Network ◽  
Spreading Rates

In this paper, a new immunization strategy was established to prevent the epidemic spreading based on the principle of "Multi-granularity" and "Pre-warning Mechanism", which send different pre-warning signal with the risk rank of the susceptible node to be infected. The pre-warning means there is a higher risk that the susceptible node is more likely to be infected. The multi-granularity means the susceptible node is linked with multi-infected nodes. In our model, the effect of the different situation of the multi-granularity immunizations is compared and different spreading rates are adopted to describe the epidemic behavior of nodes. In addition the threshold value of epidemic outbreak is investigated, which makes the result more convincing. The theoretical analysis and the simulations indicate that the proposed immunization strategy is effective and it is also economic and feasible.

Research on new evolution model of scale-free network

2009 ◽  
Vol 29 (5) ◽  
pp. 1230-1232
Author(s):  
Hao RAO ◽  
Chun YANG ◽  
Shao-hua TAO
Keyword(s):  
Evolution Model ◽  
Scale Free Network ◽  
Scale Free ◽  
Free Network
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