Inferential network analysis with exponential random graph models SJ Cranmer, BA Desmarais Political analysis 19 (1), 66-86, 2011 | 603 | 2011 |
Elusive consensus: Polarization in elite communication on the COVID-19 pandemic J Green, J Edgerton, D Naftel, K Shoub, SJ Cranmer Science advances 6 (28), eabc2717, 2020 | 384 | 2020 |
Navigating the range of statistical tools for inferential network analysis SJ Cranmer, P Leifeld, SD McClurg, M Rolfe American Journal of Political Science 61 (1), 237-251, 2017 | 252 | 2017 |
Temporal exponential random graph models with btergm: Estimation and bootstrap confidence intervals P Leifeld, SJ Cranmer, BA Desmarais Journal of Statistical Software 83 (6), 2018 | 250 | 2018 |
Complex dependencies in the alliance network SJ Cranmer, BA Desmarais, EJ Menninga Conflict management and peace science 29 (3), 279-313, 2012 | 200 | 2012 |
Statistical mechanics of networks: Estimation and uncertainty BA Desmarais, SJ Cranmer Physica A: statistical mechanics and its applications 391 (4), 1865-1876, 2012 | 167 | 2012 |
Statistical inference for valued-edge networks: The generalized exponential random graph model BA Desmarais, SJ Cranmer PloS one 7 (1), e30136, 2012 | 162 | 2012 |
Micro‐level interpretation of exponential random graph models with application to estuary networks BA Desmarais, SJ Cranmer Policy Studies Journal 40 (3), 402-434, 2012 | 137 | 2012 |
What can we learn from predictive modeling? SJ Cranmer, BA Desmarais Political Analysis 25 (2), 145-166, 2017 | 124 | 2017 |
A theoretical and empirical comparison of the temporal exponential random graph model and the stochastic actor-oriented model P Leifeld, SJ Cranmer Network science 7 (1), 20-51, 2019 | 123 | 2019 |
Toward a network theory of alliance formation SJ Cranmer, BA Desmarais, JH Kirkland International Interactions 38 (3), 295-324, 2012 | 122 | 2012 |
A critique of dyadic design SJ Cranmer, BA Desmarais International studies quarterly 60 (2), 355-362, 2016 | 115 | 2016 |
Testing the “Dick Cheney” hypothesis: do governments of the left attract more terrorism than governments of the right? MT Koch, S Cranmer Conflict Management and Peace Science 24 (4), 311-326, 2007 | 112 | 2007 |
Reciprocity and the structural determinants of the international sanctions network SJ Cranmer, T Heinrich, BA Desmarais Social Networks 36, 5-22, 2014 | 111 | 2014 |
Network interdependencies and the evolution of the international arms trade PW Thurner, CS Schmid, SJ Cranmer, G Kauermann Journal of Conflict Resolution 63 (7), 1736-1764, 2019 | 86 | 2019 |
We have to be discrete about this: A non-parametric imputation technique for missing categorical data SJ Cranmer, J Gill British Journal of Political Science 43 (2), 425-449, 2013 | 79 | 2013 |
Position-taking in the Euro crisis K Armingeon, S Cranmer Journal of European Public Policy 25 (4), 546-566, 2018 | 72 | 2018 |
Kantian fractionalization predicts the conflict propensity of the international system SJ Cranmer, EJ Menninga, PJ Mucha Proceedings of the National Academy of Sciences 112 (38), 11812-11816, 2015 | 64 | 2015 |
Inferential network analysis SJ Cranmer, BA Desmarais, JW Morgan Cambridge University Press, 2020 | 62 | 2020 |
Stochastic weighted graphs: Flexible model specification and simulation JD Wilson, MJ Denny, S Bhamidi, SJ Cranmer, BA Desmarais Social Networks 49, 37-47, 2017 | 60 | 2017 |