Stefan D. McCabe

I am a doctoral candidate at Northeastern University’s Network Science Institute, advised by David Lazer. My research focuses on developing methods for accurately measuring and describing online social behaviors. Before joining Northeastern, I was a graduate student at George Mason University’s Department of Computational Social Science, where I was advised by Rob Axtell and completed a master’s thesis on agent-based modeling methodologies. In Summer 2020, I was a research intern at Microsoft Research, working with David Rothschild.

I am currently on the job market, seeking a research position (either in industry or at the postdoc level) starting fall 2022.

My CV can be found here, and my resume can be found here.

Other online presences: Github, Google Scholar, Twitter.

Teaching

Fall 2020

PHYS 5116: Complex Networks and Applications. Course website.

Fall 2019

DS 2001: Programming with Data (Social Science Practicum). Course website.

Publications

2021

• Hughes, Adam G., Stefan D. McCabe, William R. Hobbs, Emma Remy, Sono Shah, and David M. J. Lazer. 2021. “Using Administrative Records and Survey Data to Construct Samples of Tweeters and Tweets.” Public Opinion Quarterly 85 (S1): 323-346. https://doi.org/10.1093/poq/nfab020. (ungated · code)
• McCabe, Stefan, Leo Torres, Timothy LaRock, Syed Arefinul Haque, Chia-Hung Yang, Harrison Hartle, and Brennan Klein. 2021. “netrd: A library for network reconstruction and graph distances.” Journal of Open Source Software 6 (62): 2990. https://doi.org/10.21105/joss.02990. arXiv: 2010.16019 (code)
• Shugars, Sarah, Adina Gitomer, Stefan D. McCabe, Ryan J. Gallagher, Kenneth Joseph, Nir Grinberg, Larissa Doroshenko, Brooke Foucult Welles, and David Lazer. 2021. “Pandemics, Protests, and Publics: Demographic Activity and Engagement on Twitter in 2020.” Journal of Quantitative Description: Digital Media 1. https://doi.org/10.51685/jqd.2021.002 (code)

2020

• Hartle, Harrison, Brennan Klein, Stefan McCabe, Alexander Daniels, Guillaume St-Onge, Charles Murphy, and Laurent Hébert-Dufresne. 2020. “Network Comparison and the Within-Ensemble Graph Distance.” Proceedings of the Royal Society A 476 (2243): 20190744. https://doi.org/10.1098/rspa.2019.0744. arXiv:2008.02415 (code)

Working Papers

• Klein, Brennan, Nicholas Generous, Matteo Chinazzi, Zarana Bhadricha, Rishab Gunashekar, Preeti Kori, Bodian Li, Stefan McCabe, Jon Green, David Lazer, Christopher R. Marsicano, Samuel V. Scarpino, and Alessandro Vespignani. Under review. “Higher education responses to COVID-19 in the United States: Evidence for the impacts of university policy.” https://www.medrxiv.org/content/10.1101/2021.10.07.21264419v2.
• Esterling, Kevin, Stefan McCabe, Diogo Ferrari, Jon Green, and David Lazer. “Deplatforming Right-Wing Extremists on Twitter Following the January 6 Insurrection.” Under review.
• Hobbs, William R., Jon Green, Stefan McCabe, and David Lazer. Under review. “Despair or Defiance? Assessing Turnout Effects of Election Misinformation.” https://osf.io/f34ac/
• Green, Jon, Stefan McCabe, John Harrington, Sarah Shugars, Hanyu Chwe, Luke Horgan, Shuyang Cao and David Lazer. In preparation. “Curation Bubbles: Domain Versus URL Level Analysis of Partisan News Sharing on Social Media.”
• Stefan McCabe, Jon Green, Allison Wan, and David Lazer. In preparation. “New Tweetscores.”
• Stefan McCabe, Jon Green, Pranav Goel, and David Lazer. In preparation. “How Representative is Online Representation? A Descriptive Analysis of Who Follows Their Own Member of Congress on Twitter.”
• Klein, Brennan, Timothy LaRock, Stefan McCabe, Leo Torres, Lisa Friedland, Filippo Privitera, Brennan Lake, Moritz U. G. Kraemer, John S. Brownstein, David Lazer, Tina Eliassi-Rad, Samuel V. Scarpino, Alessandro Vespignani, and Matteo Chinazzi. In preparation. “Reshaping a nation: Mobility, commuting, and contact patterns during the COVID-19 outbreak.” https://covid19.gleamproject.org/mobility
• Klein, Brennan, Harrison Hartle, Leo Torres, Stefan D. McCabe, Chia-Hung Yang, Timothy LaRock, David Saffo, et al. In preparation. “Comparing Methods for Reconstructing Networks from Time Series Data by Comparing Methods for Measuring Network Similarity.”

Conference Presentations

2022

• “New Tweetscores, or, Did Donald Trump Break Tweetscores?,” oral presentation, Midwestern Political Science Assocation, Chicago, IL.

2021

• “Despair or Defiance?,” oral presentation, American Political Science Association, online conference.
• “Curation Bubbles,” oral presentation, Politics and Computational Social Science, online conference.
• “How Representative are the (Online) Represented?,” oral presentation, Networks 2021, online conference.
• “How Representative are the (Online) Represented?,” oral presentation, Political Networks Conference, online conference.
• “Curation Bubbles,” oral presentation, Midwestern Political Science Association, online conference.

2020

• “Twitter is Real Life (for Journalists),” oral presentation, PaCSS, online conference.
• “A Vocal Minority,” oral presentation, IC2S2, online conference. (video · slides)

2019

• “Time Scales of Social Influence,” oral presentation, Midwestern Political Science Assocation, Chicago, IL.
• “Time Scales of Social Influence,” oral presentation, Political Networks Conference, Durham, NC.
• “Local Edge Perturbation,” poster, NetSci, Burlington, VT.
• “Time Scales of Social Influence,” oral presentation, Sunbelt Conference, Montréal.
• “Time Scales of Social Influence,” oral presentation, American Political Science Assocation, Washington DC.

Other Resources

Every year, I run a tutorial on using R for incoming doctoral students at the Network Science Institute. The most recent version of this tutorial can be found here (HTML, PDF).