Nils W. Metternich is Lecturer in International Relations at University College London, Department of Political Science, The Rubin Building, 29/30 Tavistock Square, London, WC1H 9QU, UK (email@example.com). Cassy Dorff (firstname.lastname@example.org), Max Gallop (email@example.com), and Simon Weschle (firstname.lastname@example.org) are Ph. D. students, Department of Political Science, Duke University, 140 Science Drive, Room 208, Box 90204, Durham, NC 27708. Michael D. Ward is Professor of Political Science, Duke University 140 Science Drive, Room 208, Box 90204, Durham, NC 27708 (email@example.com).
Antigovernment Networks in Civil Conflicts: How Network Structures Affect Conflictual Behavior
Article first published online: 28 MAY 2013
©2013, Midwest Political Science Association
American Journal of Political Science
Volume 57, Issue 4, pages 892–911, October 2013
How to Cite
Metternich, N. W., Dorff, C., Gallop, M., Weschle, S. and Ward, M. D. (2013), Antigovernment Networks in Civil Conflicts: How Network Structures Affect Conflictual Behavior. American Journal of Political Science, 57: 892–911. doi: 10.1111/ajps.12039
This project was undertaken in the framework of an initiative funded by the Information Processing Technology Office of the Defense Advanced Research Projects Agency aimed at producing models to provide an Integrated Crisis Early Warning System (ICEWS) for decision makers in the U.S. defense community. The holding grant is to the Lockheed Martin Corporation, Contract FA8650-07-C-7749. For helpful insights, we thank Scott de Marchi, Florian Hollenbach, Jan Pierskalla, and Anna Schultz. All the bad ideas and mistakes are our own. An earlier version was presented at the 2011 conference “Theory and Methods in the Study of Civil War,” Centre for the Study of Civil War, PRIO, Oslo. All data and replication files can be found at http://dvn.iq.harvard.edu/dvn/dv/mward as well as at http://dvn.iq.harvard.edu/dvn/dv/ajps.
- Issue published online: 8 OCT 2013
- Article first published online: 28 MAY 2013
- Information Processing Technology Office of the Defense Advanced Research Projects Agency aimed at producing models to provide an Integrated Crisis Early Warning System (ICEWS)
Disclaimer: Supplementary materials have been peer-reviewed but not copyedited.
Appendix A. Supporting Tables
Table A1: Summary statistics for covariates
Table A2: Model Results With Original Variables
Table A3: Model Results With Standardized Variables
Please note: Wiley Blackwell is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.