The vaccination against epidemic spreading in Complex Networks

The paper focuses special attention on research of Complex Networks. Complex Networks have Scale Free and Small Word features, what make them accurate model of many networks such as social networks. These features, which appear to be very efficient for communication networks, favor at the same time the spreading of many diseases. Based on defined centrality measures, we show how to discover the critical elements of any network. The identification and then vaccination of the critical elements of a given network should be the first concern in order to reduce the consequence of epidemics.