Year of Publication


Degree Name

Master of Arts (MA)

Document Type

Master's Thesis


Communication and Information



First Advisor

Dr. Andrew Pilny


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.

Digital Object Identifier (DOI)