Originally presented at the 4th Annual Conference on Political Science, University of Michigan, Ann Arbor, MI, June 14–18, 2011.
Network Location and Policy-Oriented Behavior: An Analysis of Two-Mode Networks of Coauthored Documents Concerning Climate Change in the Great Lakes Region
Version of Record online: 1 AUG 2012
© 2012 Policy Studies Organization
Policy Studies Journal
Volume 40, Issue 3, pages 492–515, August 2012
How to Cite
Frank, K., Chen, I.-C., Lee, Y., Kalafatis, S., Chen, T., Lo, Y.-J. and Lemos, M. C. (2012), Network Location and Policy-Oriented Behavior: An Analysis of Two-Mode Networks of Coauthored Documents Concerning Climate Change in the Great Lakes Region. Policy Studies Journal, 40: 492–515. doi: 10.1111/j.1541-0072.2012.00462.x
This study is part of the National Oceanic and Atmospheric Administration-funded Great Lakes Integrated Sciences and Assessments (GLISA), which seeks to improve the intersection between science and policy in the Great Lakes region.
- Issue online: 1 AUG 2012
- Version of Record online: 1 AUG 2012
- policy behavior;
- climate change
This study explores how a scientist's location in science-based policy networks can affect her policy-oriented behaviors. In particular, we hypothesize that those scientists who fill structural holes in their networks will be more likely than others to engage in policy-oriented behaviors. The network data are defined by scientists' coauthorship on policy documents regarding climate change in the Great Lakes. We employ a two-mode network analysis to identify clusters of scientists who coauthored similar documents, and relative to those clusters, we identify those who fill structural holes by bridging between clusters. We find that those scientists who bridged between clusters were more likely to engage in policy-oriented behaviors of policy advocacy and advising than were others in the network. This is an example of a link between network location and policy-oriented behavior indicative of the broader phenomenon of how individuals exert agency, given structural constraints.