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Bruce Desmarais
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John Schoeneman, Boliang Zhu, and Bruce A. Desmarais. Complex dependence in foreign direct investment: network theory and empirical analysis. Political Science Research and Methods. 117, 2020.
Skyler J. Cranmer, Bruce A. Desmarais, and Jason W. Morgan. Inferential Network Analysis. Analytical Methods for Social Research. Cambridge University Press, 2020.
John Schoeneman and Bruce Desmarais. Network modeling: estimation, inference, comparison, and selection.In Luigi Curini & Robert Franzese, editor. The SAGE handbook of research methods in political science and international relations, hapter 46, pages 876–894. SAGE Publications, London, 2020.
Fangcao Xu, Bruce Desmarais, and Donna Peuquet. Stand: A spatio-temporal algorithm for net- work diffusion simulation. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim ’20., page 2029, New York, NY, USA, 2020. Association for Computing Machinery.
Sangyeon Kim, Omer Yalcin, Samuel Bestvater, Kevin Munger, Burt Monroe, and Bruce Desmarais. The effects of an informational intervention on attention to anti-vaccination content on youtube. In 14th International Conference on Web and Social Media, ICWSM 2020., volume 14, pages 949–953, 2020.
Bruce A Desmarais and John A Hird. Policy-relevant science: The depth and breadth of support networks. In Complex Networks, pages 385–392. Springer, 2020.
Sayali Phadke and Bruce A. Desmarais. Considering network effects in the design and analysis of field experiments on state legislatures. State Politics & Policy Quarterly, 9(4):451-73 2019.
Xi Liu, Clio Andris, and Bruce A Desmarais. Migration and political polarization in the us: An analysis of the county-level migration network. PLOS One, 14(11), 2019.
Skyler J Cranmer, Bruce A Desmarais, and Benjamin W Campbell. The contagion of democracy through international networks. Social Networks, 61:87–98, 2020.
Shana Scogin, Sarah Petersen, Jeffrey Harden, and Bruce Desmarais. modelltest: An R package for unbiased model comparison using cross validation. Journal of Open Source Software, 4(41):1542, 9 2019.
Bruce A Desmarais. Punctuated equilibrium or incrementalism in policymaking: What we can and cannot learn from the distribution of policy changes. Research & Politics, 6(3), 2019.
Paul E Stillman, James D Wilson, Matthew J Denny, Bruce A Desmarais, Skyler J Cranmer, and Zhong-Lin Lu. A consistent organizational structure across multiple functional subnetworks of the human brain. NeuroImage, 197:24–36, 2019.
Carisa Bergner, Bruce Desmarais, and John Hird. Speaking truth in power: Scientific evidence as motivation for policy activism. Journal of Behavioral Public Administration, 2(1).
Frederick Boehmke, Mark Brockway, Bruce A. Desmarais, Jeffrey J. Harden, Scott LaCombe, Fridolin Linder, and Hanna Wallach. A New Database for Inferring Public Policy Innovativeness and Diffusion Networks. Policy Studies Journal, APolicy Studies Journal, 48(2):517–545, 2020.
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Shankar Bhamidi, Suman Chakraborty, Skyler Cranmer, Bruce Desmarais. Weighted exponential random graph models: Scope and large network limits. Journal of Statistical Physics, 173(3-4):704–705, 2018..
Fridolin Linder, Bruce A. Desmarais, Matthew Burgess, and Eugenia Giraudy. Text as Policy: Measuring Policy Similarity through Bill Text Reuse. Policy Studies Journal, 48(2):546–574, 2020.
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Bruce A. Desmarais. Discussion of, "Inferring social structure from continuous-time interaction data.". Applied Stochastic Models in Business and Industry, 34(2):107–109, 2018.
Jake Bowers, Bruce A. Desmarais, Mark M. Frederickson, Nahomi Ichino, Hsuan-Wei Lee, and Simi Wang. Models, Methods and Network Topology: Experimental Design for the Study of Interference. Social Networks, 54:196 – 208, 2018.
T. Marple, B. Desmarais, and K. L. Young. Collapsing corporate confusion: Leveraging network structures for effective entity resolution in relational corporate data. 2017 IEEE International Conference on Big Data (Big Data), pages 2637–2643, Dec 2017.
C. S. Schmid and B. A. Desmarais. Exponential random graph models with big networks: Maximum pseudolikelihood estimation and the parametric bootstrap. 2017 IEEE International Conference on Big Data (Big Data), pages 116–121, Dec 2017.
Paul E. Stillman, James D. Wilson, Matthew J. Denny, Bruce A. Desmarais, Shankar Bhamidi, Skyler J. Cranmer, and Zhong-Lin Lu. Statistical Modeling of the Default Mode Brain Network Reveals a Segregated Highway Structure. Scientific Reports, 7, Article number: 11694, 2017.
Philip Leifeld, Skyler J. Cranmer, and Bruce A. Desmarais. Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals. Journal of Statistical Software, 83(6):1–36, 2018.
Skyler J. Cranmer and Bruce A. Desmarais. What can we learn from predictive modeling? Political Analysis, 25(2):145–166, 2017.
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Bruce A. Desmarais and Skyler J. Cranmer. Statistical inference in political networks research. In Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell, editors, The Oxford Handbook of Political Networks. Oxford University Press, 2017.
James D. Wilson, Matthew J. Denny, Shankar Bhamidi, Skyler J. Cranmer, and Bruce A. Desmarais. Stochastic Weighted Graphs: Flexible Model Specification and Simulation. Social Networks, 49:37– 47, 2017.
Abigail A. Rury, Frederick Boehmke, Bruce A. Desmarais, and Jeffrey J. Harden. The Seeds of Policy Change: Leveraging Diffusion to Disseminate Policy Innovations. Journal of Health Policy, Politics, and Law, 42(2):285–307, 2017.
James ben Aaron, Matthew J. Denny, Bruce A. Desmarais, and Hanna Wallach. Transparency by Conformity: A Field Experiment Evaluating Openness in Local Governments. Public Administration Review, 77(1):68–77, 2017.
[preprint] [Pacific Standard coverage]
Skyler J. Cranmer and Bruce A. Desmarais. A Critique of Dyadic Design. International Studies Quarterly, 60(2):355–362, 2016.
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Mia Costa, Bruce A. Desmarais and John A. Hird. Science Use in Regulatory Impact Analysis: The effects of Political Attention and Controversy. Review of Policy Research, 33(3):251-269, 2016.
Bruce A. Desmarais, Jeffrey J. Harden, and Frederick J. Boehmke. Persistent Policy Pathways: Inferring Diffusion Networks in the American States. American Political Science Review, 109(02), 392-406, 2015.
[data] [Pacific Standard coverage]
Bruce A. Desmarais, Vincent G. Moscardelli, Brian F. Schaffner, and Michael S. Kowal.Measuring Legislative Collaboration: The Senate Press Events Network. Social Networks, 40, 43-54, 2015.
Bruce A. Desmarais, Raymond J. La Raja, and Michael S. Kowal. The Fates of Challengers in US House Elections: The Role of Extended Party Networks in Supporting Candidates and Shaping Electoral Outcomes. American Journal of Political Science, 59(1), 194-211, 2015.
[data] [LSE Blog coverage]
Bruce A. Desmarais and John A. Hird. Public Policy's Bibliography: The Use of Research in U.S. Regulatory Impact Analyses. Regulation & Governance, 8(4), 497-510, 2014.
Skyler J. Cranmer, Tobias Heinrich, and Bruce A. Desmarais. Reciprocity and the Structural Determinants of the International Sanctions Network. Social Networks,36(January):5-22, 2014.
Bruce A. Desmarais and Jeffrey J. Harden. An Unbiased Model Comparison Test Using Cross-Validation. Quality & Quantity,48 (4), 2155-2173, 2014.
Bruce A. Desmarais and Jeffrey J. Harden. Testing for Zero-Inflation in Count Models: Bias Correction for the Vuong Test. The Stata Journal, 13(4):810-835, 2013.
Peter Krafft, Juston Moore, Hanna Wallach, and Bruce Desmarais. Topic-Partitioned Multinet work Embeddings. Proceedings of the 26th Annual Conference on Neural Information Processing Systems, 2012.
Bruce A. Desmarais and Skyler J. Cranmer. Micro-level interpretation of exponential random graph models with application to estuary networks. Policy Studies Journal, 40(3):402-434, 2012.
Skyler J. Cranmer, Bruce A. Desmarais, and Justin H. Kirkland. Toward a Network Theory of Alliance Formation. International Interactions, 38(3):295-324, 2012.
Stuart M. Benjamin and Bruce A. Desmarais. Standing the Test of Time; The Breadth of Majority Coalitions and the Fate of U.S. Supreme Court Precedents. Journal of Legal Analysis, 4(2):445-469.
Skyler J. Cranmer, Bruce A. Desmarais, and Elizabeth Menninga. Complex Dependencies in the Alliance Network. Conflict Management and Peace Science, 29(3):279-313, 2012.
Bruce A. Desmarais and Jeffrey J. Harden. Comparing partial likelihood and robust estimation methods for the Cox regression model. Political Analysis, 20(1):113-135, 2012.
Bruce A. Desmarais and Skyler J. Cranmer. Statistical inference for valued-edge networks: The generalized exponential random graph model. PLoS ONE, 7(1):e30136, 01 2012.
Bruce A. Desmarais. Lessons in disguise: Multivariate predictive mistakes in collective choice models. Public Choice, 151(3):719-737, 2012.
Bruce A. Desmarais and Skyler J. Cranmer. Statistical Mechanics of Networks: Estimation and Uncertainty. Physica A, 391(4):1865-1876, 2012.
Skyler J. Cranmer and Bruce A. Desmarais. Inferential Network Analysis with Exponential Random Graph Models. Political Analysis, 19(1):66-86, 2011.
Jeffrey J. Harden and Bruce A. Desmarais. Linear Models with Outliers: Choosing Between Conditional- Mean and Conditional-Median Methods. State Politics & Policy Quarterly, 11(4):371-389, 2011.
Allison T. Freeman and Bruce A. Desmarais. Portfolio Adjustment to Home Equity Accumulation among CRA Borrowers. Journal of Housing Research, 20(2):141-160, 2011.
Bruce A. Desmarais and Skyler J. Cranmer. Forecasting the Locational Dynamics of Transnational Terrorism: A Network Analytic Approach. In Proceedings of the European Intelligence and Security Informatics Conference (EISIC) 2011. IEEE Computer Society, 2011.
Bruce A. Desmarais and Skyler J. Cranmer. Consistent Confidence Intervals for Maximum Pseudolikelihood Estimators. Neural Information Processing Systems 2010 Workshop on Computational Social Science and the Wisdom of Crowds, 2010.
230 Pond Lab, (814) 863-1595, bdesmarais'at'

Deptartment of Political Science | Institute for Computational and Data Sciences | Penn State