Skyler Cranmer

Physics and Astronomy · The Ohio State University

Mid career · publishing since 2005

Complex Network Analysis Techniques Opinion Dynamics and Social Influence Advanced Causal Inference Techniques Mental Health Research Topics Statistical Methods and Inference

Publications

274

Citations

3,225

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2005

Research summary

AI-generated

Skyler Cranmer develops statistical and network-analysis methods for studying how social, political, and biological systems are interconnected, including how relationships form, change, and influence behavior over time. Applications span political science topics like polarization, elite influence, and public opinion, as well as social networks, brain connectivity, and disease-information dynamics. Much of the work involves creating or refining quantitative tools (such as network models) rather than studying a single substantive topic.

Statistical network analysis (e.g., ERGM, SAOM models)Political polarization and elite communicationSocial network dynamics and evolutionBrain functional connectivityQuantitative/methodological tools for social science

Publication counts were fairly steady through 2019, spiked sharply in 2020, then dropped substantially from 2021 onward, with little to no output recorded in 2023-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence

Publications per year over the last 10 years — averaging 1.2/year recently

Recent publications

Meet the Press: Gendered Conversational Norms in Televised Political Discussion
The Journal of Politics · 2024
Untangling the network effects of productivity and prominence among scientists
Nature Communications · 2022
The stochastic actor-oriented model is a theory as much as it is a method and must be subject to theory tests
Network Science · 2022
Functional connectivity signatures of political ideology
PNAS Nexus · 2022
How teams adapt to exogenous shocks: Experimental evidence with node knockouts of central members
Network Science · 2022
A theoretical and empirical comparison of the temporal exponential random graph model and the stochastic actor-oriented model – Corrigendum
Network Science · 2022
Exploring the direct and indirect effects of elite influence on public opinion
PLoS ONE · 2021
Understanding the Relationship Between Official and Social Information About Infectious Disease: Experimental Analysis
Journal of Medical Internet Research · 2021
A Permutation-Based Changepoint Technique for Monitoring Effect Sizes
Political Analysis · 2021
Multiple Hot Deck Imputation [R package hot.deck version 1.2]
2021
The Heritability of Foreign Policy Preferences
UNC Libraries · 2021
Demography, Democracy and Disputes: The Search for the Elusive Relationship Between Population Growth and International Conflict
Carolina Digital Repository (University of North Carolina at Chapel Hill) · 2021
REPRODUCING.md
Harvard Dataverse · 2020
capsule.Rproj
Harvard Dataverse · 2020
B0D40A37-contents
Harvard Dataverse · 2020

Publishes in

Harvard Dataverse×169
Cambridge University Press eBooks×9
UNC Libraries×6
Network Science×4
PLoS ONE×3

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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