Modeling the spread of multiple contagions on multilayer networks

Abstract A susceptible–infected–susceptible (SIS) model of multiple contagions on multilayer networks is developed to incorporate different spreading channels and disease mutations. Upper lower bounds basic reproductive numbers are derived rapid mutation processes analytically analyzed. In the special case where only two considered, analytical results obtained for network model, a competition with arbitrarily many layers, compartmental model. The may help understanding other phenomena including communicable diseases, cultural characteristics, addictions, or information spread through e-mail messages, web blogs computer networks.