Marrs, Frank W., author2017-11-092017-11-092017https://hdl.handle.net/10217/184795State decisions in environmental policy are driven by international factors, but systematic assessment of this influence has proven elusive. For the first time, we examine the latent influence network that underlies global politics. We propose a model for longitudinal bipartite relational data to infer latent influence networks. Our approach provides improved interpretability and estimability over existing models while performing at least as well. We analyze a newly compiled dataset and find that strong positive and negative influences among countries and treaties do exist. These findings provide a means to understand the evolution of international environmental protection.born digitalStudent workspostersengCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.bipartitenetworksText