Dynamic model SIR of the spread of virus inside computers in scale free network

Modeling COVID-19 with mean field evolutionary dynamics: Social distancing and seasonality

“…Aside from the prediction of the spread of the pandemic, epidemic dynamics can also be useful in many other fields, such as computer science and the study of social networks. In computer science, the propagation of computer viruses can be studied with stochastic epidemic dynamics [15], and based on such analyses, practical measures can be taken to contain the spread of viruses [16]. Similarly, the popularity assessment of web content on social media with epidemic dynamics is useful in applications such as caching, recommendation, advertising, and prediction of economic trends.…”

Study on the Dynamic Behavior of a Class of Heterogeneous Network Systems With Time Delay

“…Common transmission dynamics models are widely used in the study of Ebola, SARS, dengue fever, COVID-19, and other infectious diseases, and often introduced into other fields. In the area of computer [1][2][3] , Mishra et al use the SEIR model to study the propagation behavior of the worm virus on computer networks and observe that when the basic reproduction number is less than or equal to unity, the infected nodes tend to zero, and simultaneously the worm virus on the networks disappear [1]. To investigate how to limit the spread of network virus, Ren et al introduce the installation of anti-virus software as an inhibition parameter into the SAIR model, and find that according to the different anti-virus capability of anti-virus software, the model will appear backward fork or Hopf bifurcation [2].…”