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Many substantive processes are inherently multiplex in nature, yet are often reduced to processes on uniplex networks in analytic practice. We look at how data modeling choices can affect the predictions of contagion processes. We demonstrate that multiplex contagion processes are not simply the union of contagion processes over their constituent uniplex networks. We use multiplex network data from two different contexts -- a behavioral network to represent their potential for infectiousarXiv:2204.12348v1 fatcat:itmzdjpwnraldcoktbn7dqj7dm