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.