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When individuals in a social network make decisions that depend on what others have done earlier, there is the potential for a cascade to form -a run of behaviors that are highly correlated. In an arbitrary network, the outcome of such a cascade can depend sensitively on the order in which nodes make their decisions, but to do date there has been very little investigation of how this dependence works, or how to choose an order to optimize various parameters of the cascade. Here we formulate thedoi:10.1145/2229012.2229040 dblp:conf/sigecom/ChierichettiKP12 fatcat:inninyuofbcwhimjalkavwkpsq