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We introduce applications of established methods in time-series and network analysis that we jointly apply here for the kinematic study of gesture ensembles. We define a gesture ensemble as the set of gestures produced during discourse by a single person or a group of persons. Here we are interested in how gestures kinematically relate to one another. We use a bivariate time-series analysis called dynamic time warping to assess how similar each gesture is to other gestures in the ensemble indoi:10.1080/0163853x.2019.1678967 fatcat:hqgxrtt4hne2jnm22sn4smyxka