Skyler Cranmer

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Bruce A. DesmaraisProfessor, Department of Political Science, Penn State UniversityAdresse e-mail validée de psu.edu
Philip LeifeldUniversity of ManchesterAdresse e-mail validée de manchester.ac.uk
Benjamin W. CampbellThe Ohio State UniversityAdresse e-mail validée de osu.edu
James David WilsonAssociate Professor, University of San FranciscoAdresse e-mail validée de usfca.edu
Jared F. EdgertonAssistant Professor, University of Texas at DallasAdresse e-mail validée de utdallas.edu
Shankar BhamidiProfessor, University of North Carolina, Chapel HillAdresse e-mail validée de email.unc.edu
Kelsey ShoubUniversity of Massachusetts, AmherstAdresse e-mail validée de umass.edu
Daniel NaftelPostdoctoral Fellow, Harvard UniversityAdresse e-mail validée de hks.harvard.edu
Jon GreenAssistant professor, Duke UniversityAdresse e-mail validée de duke.edu
Zhong-Lin LuNYU Shanghai and NYUAdresse e-mail validée de nyu.edu
Peter J. MuchaJack Byrne Distinguished Professor in Mathematics, Dartmouth CollegeAdresse e-mail validée de dartmouth.edu
Matthew J. DennyResearch Scientist @ FacebookAdresse e-mail validée de fb.com
Keith WarrenProfessor of Social Work, The Ohio State UniversityAdresse e-mail validée de osu.edu
Jeff GillAmerican UniversityAdresse e-mail validée de american.edu
Weihua LiProfessor of Data Science, Beihang UniversityAdresse e-mail validée de ucl.ac.uk
Scott McClurgProfessor of Political Science and SociologyAdresse e-mail validée de siu.edu
Meredith RolfeUniversity of Massachusetts, AmherstAdresse e-mail validée de umass.edu
Paul Edgar StillmanAssistant Professor, Boston UniversityAdresse e-mail validée de bu.edu
Goeran KauermannLudwig-Maximilians-University MunichAdresse e-mail validée de lmu.de
Robert M BondOhio State UniversityAdresse e-mail validée de osu.edu

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Skyler Cranmer

Carter Phillips and Sue Henry Professor of Political Science, The Ohio State University

Adresse e-mail validée de osu.edu - Page d'accueil

Data Science Machine Learning Network Analysis Political Methodology International Relations and Conflict Processes


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Inferential network analysis with exponential random graph models SJ Cranmer, BA Desmarais Political analysis 19 (1), 66-86, 2011	620	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	417	2020
Temporal exponential random graph models with btergm: Estimation and bootstrap confidence intervals P Leifeld, SJ Cranmer, BA Desmarais Journal of Statistical Software 83, 1-36, 2018	273	2018
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	270	2017
Complex dependencies in the alliance network SJ Cranmer, BA Desmarais, EJ Menninga Conflict management and peace science 29 (3), 279-313, 2012	210	2012
Statistical mechanics of networks: Estimation and uncertainty BA Desmarais, SJ Cranmer Physica A: statistical mechanics and its applications 391 (4), 1865-1876, 2012	182	2012
Statistical inference for valued-edge networks: The generalized exponential random graph model BA Desmarais, SJ Cranmer PloS one 7 (1), e30136, 2012	165	2012
What can we learn from predictive modeling? SJ Cranmer, BA Desmarais Political Analysis 25 (2), 145-166, 2017	141	2017
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	141	2012
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	134	2019
Toward a network theory of alliance formation SJ Cranmer, BA Desmarais, JH Kirkland International Interactions 38 (3), 295-324, 2012	134	2012
A critique of dyadic design SJ Cranmer, BA Desmarais International studies quarterly 60 (2), 355-362, 2016	125	2016
Reciprocity and the structural determinants of the international sanctions network SJ Cranmer, T Heinrich, BA Desmarais Social Networks 36, 5-22, 2014	124	2014
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	115	2007
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	103	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	85	2013
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	74	2015
Inferential network analysis SJ Cranmer, BA Desmarais, JW Morgan Cambridge University Press, 2020	69	2020
Position-taking in the Euro crisis K Armingeon, S Cranmer Journal of European Public Policy 25 (4), 546-566, 2018	67	2018
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

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