Comparison of Network Topologies by Simulation of Advertising

Abstract

Information spreading processes and advertising strategies are often studied by different epidemic models on a given topology. The goal of this paper is to discover and summarize the effect of underlying network topologies on a general spreading process. A complex set of different networks is studied by computer simulations from regular networks through random networks to different scale-free network topologies. The speed of spreading and the micro-scale features of these systems highlight the differences caused by different network topologies. This may help to plan for example advertising strategies on different social networks.