Antecedents Of Border Management Network In El Paso, Texas: An Exponential Random Graph Model
Keywords
border management; exponential random graph model; interorganizational coordination; network analysis
Abstract
Despite the growing interest in interorganizational border management, relatively little is known about antecedents that drive such coordination efforts emerging in and around border regions. This case study uses exponential random graph models to test hypotheses about the antecedents of a border management coordination network in El Paso, Texas. The analysis demonstrates that actors tend to build tightly closed relationships through bonding and clustering, while also seeking cross-sectoral partnerships. In addition, actors tend to build ties with public organizations, and with organizations that represent regional interests/issues in the border management context. The research discusses the findings and offers some policy and administrative implications to enhance actor relationships within the border management network.
Publication Date
9-25-2018
Publication Title
Journal of Homeland Security and Emergency Management
Volume
15
Issue
3
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1515/jhsem-2016-0011
Copyright Status
Unknown
Socpus ID
85054400059 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85054400059
STARS Citation
Yeo, Jungwon, "Antecedents Of Border Management Network In El Paso, Texas: An Exponential Random Graph Model" (2018). Scopus Export 2015-2019. 8337.
https://stars.library.ucf.edu/scopus2015/8337