Online and Offline Rumor Spreading Dynamics on Scale-Free Networks

Author(s):  
He Wang ◽  
Tao Li ◽  
Yu Kong ◽  
Meiyang Lei ◽  
Jinwen Liu
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.


2019 ◽  
Vol 531 ◽  
pp. 121752 ◽  
Author(s):  
Wenjin Liu ◽  
Tao Li ◽  
Xinming Cheng ◽  
Hao Xu ◽  
Xiongding Liu

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

2014 ◽  
Vol 989-994 ◽  
pp. 4524-4527
Author(s):  
Tao Li ◽  
Yuan Mei Wang ◽  
You Ping Yang

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.


2012 ◽  
Vol 562-564 ◽  
pp. 1386-1389
Author(s):  
Yuan Mei Wang ◽  
Tao Li

In the SIR model once a node is cured after infection it becomes permanently immune,but we assume this immunity to be temporary. So we obtain an epidemic model with time delay on scale-free networks. Using the mean field theory the spreading threshold and the spreading dynamics is analyzed. Theoretical results indicate that the threshold is significantly dependent on the topology of scale-free networks and time delay. Numerical simulations confirmed the theoretical results.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 65563-65572 ◽  
Author(s):  
Wenjin Liu ◽  
Tao Li ◽  
Xiongding Liu ◽  
Hao Xu

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