Identification of influential spreaders in complex networks

Abstract

Networks portray a multitude of interactions through which people meet, ideas are spread and infectious diseases propagate within a society1–5. Identifying the most efficient ‘spreaders’ in a network is an important step towards optimizing the use of available resources and ensuring the more efficient spread of information. Here we show that, in contrast to… (More)

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