Dynamics of epidemic spreading model with drug-resistant variation on scale-free networks

2018 ◽  
Vol 493 ◽  
pp. 17-28 ◽  
Author(s):  
Chen Wan ◽  
Tao Li ◽  
Wu Zhang ◽  
Jing Dong
2016 ◽  
Vol 450 ◽  
pp. 649-656 ◽  
Author(s):  
Tao Li ◽  
Xiongding Liu ◽  
Jie Wu ◽  
Chen Wan ◽  
Zhi-Hong Guan ◽  
...  

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Yu Kong ◽  
Tao Li ◽  
Yuanmei Wang ◽  
Xinming Cheng ◽  
He Wang ◽  
...  

AbstractNowadays, online gambling has a great negative impact on the society. In order to study the effect of people’s psychological factors, anti-gambling policy, and social network topology on online gambling dynamics, a new SHGD (susceptible–hesitator–gambler–disclaimer) online gambling spreading model is proposed on scale-free networks. The spreading dynamics of online gambling is studied. The basic reproductive number $R_{0}$ R 0 is got and analyzed. The basic reproductive number $R_{0}$ R 0 is related to anti-gambling policy and the network topology. Then, gambling-free equilibrium $E_{0}$ E 0 and gambling-prevailing equilibrium $E_{ +} $ E + are obtained. The global stability of $E_{0}$ E 0 is analyzed. The global attractivity of $E_{ +} $ E + and the persistence of online gambling phenomenon are studied. Finally, the theoretical results are verified by some simulations.


2007 ◽  
Vol 377 (1) ◽  
pp. 125-130 ◽  
Author(s):  
Xin-Jian Xu ◽  
Zhi-Xi Wu ◽  
Guanrong Chen

2006 ◽  
Vol 17 (12) ◽  
pp. 1815-1822 ◽  
Author(s):  
XIN-JIAN XU ◽  
WEN-XU WANG ◽  
TAO ZHOU ◽  
GUANRONG CHEN

Many real networks are embedded in a metric space: the interactions among individuals depend on their spatial distances and usually take place among their nearest neighbors. In this paper, we introduce a modified susceptible-infected-susceptible (SIS) model to study geographical effects on the spread of diseases by assuming that the probability of a healthy individual infected by an infectious one is inversely proportional to the Euclidean distance between them. It is found that geography plays a more important role than hubs in disease spreading: the more geographically constrained the network is, the more highly the epidemic prevails.


2009 ◽  
Vol 26 (6) ◽  
pp. 068901 ◽  
Author(s):  
Zhang Hai-Feng ◽  
Li Ke-Zan ◽  
Fu Xin-Chu ◽  
Wang Bing-Hong

2002 ◽  
Vol 66 (4) ◽  
Author(s):  
D. Volchenkov ◽  
L. Volchenkova ◽  
Ph. Blanchard

2008 ◽  
Vol 77 (2) ◽  
Author(s):  
Carlo Piccardi ◽  
Renato Casagrandi

2011 ◽  
Vol 390 (3) ◽  
pp. 471-481 ◽  
Author(s):  
Xiangwei Chu ◽  
Zhongzhi Zhang ◽  
Jihong Guan ◽  
Shuigeng Zhou

2015 ◽  
Vol 28 (18) ◽  
pp. 2255-2274 ◽  
Author(s):  
Soodeh Hosseini ◽  
Mohammad Abdollahi Azgomi ◽  
Adel Torkaman Rahmani

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