Using an adaptation of O’Connor and Shumate’s (2018) theoretical propositions, this research examines interorganizational communication through the lens of multidimensional networks. Twitter data was crawled from a selection of emergency management organization accounts to measure affinity, representational, flow, and semantic networks. These data included the organizations’ followed accounts, retweets, replies, and mentions. A thematic analysis of the organizations’ mission statements was also conducted in order to inform the examination of the semantic networks. The results show a significant relationship between the number of accounts an organization follows and the likelihood of having its message shared. This research provides a further theoretical application of a network analysis method of studying interorganizational communication as well as a practical application for organizations seeking to increase their engagement on Twitter.