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Journal of Homeland Security and Emergency Management

Editor-in-Chief: Renda-Tanali, Irmak

Managing Editor: McGee, Sibel

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IMPACT FACTOR 2017: 0.712

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1547-7355
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Antecedents of Border Management Network in El Paso, Texas: An Exponential Random Graph Model

Jungwon YeoORCID iD: http://orcid.org/0000-0002-4991-7026
Published Online: 2018-09-21 | DOI: https://doi.org/10.1515/jhsem-2016-0011

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.

Keywords: border management; exponential random graph model; interorganizational coordination; network analysis

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About the article

Published Online: 2018-09-21


Citation Information: Journal of Homeland Security and Emergency Management, 20160011, ISSN (Online) 1547-7355, DOI: https://doi.org/10.1515/jhsem-2016-0011.

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