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Inference for influence over multiple degrees of separation on a social network
2013
Statistics in Medicine
States and behaviors of different individuals are expected to be correlated across a social network. Christakis and Fowler have proposed a 'three degrees of influence rule' to characterize the extent of such dependence. In this paper we discuss three distinct interpretations of such a rule, one involving only associations (which is the interpretation for which Christakis and Fowler give evidence), one involving actual causation, generally referred to as contagion or social influence, and one
doi:10.1002/sim.5653
pmid:23341081
pmcid:PMC4221254
fatcat:t6ekssqvjjcyvek7y5ebl2okuu