Epidemic spreading in a finite-precision BA model

The Barabasi–Albert (BA) model with finite-precision preferential attachment is used to build a wide range of network structures. Spreading epidemics and collective dynamics are investigated on such complex networks. Numerical simulations reveal a transition from an exponential scaling to a power-law distribution of link numbers per node along with the increase of the tuning parameter ω. The collective synchronization induced by the Susceptible–Infected–Recovered–Susceptible (SIRS) epidemiological process is shown to depend on the topological structure of the network.