
David Schoch
Computational Social ScienceTransparent Social Analytics
Head of team
+49 (0221) 47694-710
David•Schoch[at]gesis•org
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Vita
David Schoch is the team lead for "Transparent Social Analytics" in the Department Computational Social Science at GESIS in Cologne. Before joining GESIS, David was a Presidential Fellow in the Department of Sociology at the University of Manchester, affiliated with the "Mitchell Centre for Social Network Analysis". He has a PhD in Computer Science from the University of Konstanz and a Diploma in Businessmathematics from the Karlsruhe Institute of Technology. David is (co)-author of 14 R packages which have been downloaded more than one million times.More information and and a full publication list can be found here.
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Research
My main research interests lie in the field of Social Network Analysis and Disinformation on Social Media To topPublications
Publication
To topJournal article
Schoch, David. 2023. "graphlayouts: Layout algorithms for network visualizations in R." Journal of Open Source Software 8 (84): 5238. doi: https://doi.org/10.21105/joss.05238.
Chan, Chung-hong, and David Schoch. 2023. "RANG: Reconstructing reproducible R computational environments." arXiv 2303.04758.
Schoch, David, and Chung-hong Chan. 2023. "Rtoot: Collecting and Analyzing Mastodon Data." Mobile Media & Communication. doi: https://doi.org/10.1177/20501579231176678.
Schoch, David. 2023. "signnet: An R package for analyzing signed networks." Journal of Open Source Software 8 (81): 4987. doi: https://doi.org/10.21105/joss.04987.
Everett, Martin, and David Schoch. 2022. "An extended family of measures for directed networks." Social Networks 70 (July 2022): 334-340. doi: https://doi.org/10.1016/j.socnet.2022.03.005.
Schoch, David, Franziska B Keller, Sebastian Stier, and JungHwan Yang. 2022. "Coordination patterns reveal online political astroturfing across the world." Scientific Reports 2022 (12): 4572. doi: https://doi.org/10.1038/s41598-022-08404-9.
Schoch, David. 2022. "netrankr: An R package for total, partial, and probabilistic rankings in networks." Journal of Open Source Software 7 (77): 4563. doi: https://doi.org/10.21105/joss.04563.
Lecture
To topConference contribution
Mangold, Frank, David Schoch, and Sebastian Stier. 2023. "More than meets the eye: How ideological selectivity plays out in digital high-choice media environments." 73rd Conference of the International Communication Association (ICA), Toronto, Canada, 2023-05-29.
To topContribution not at conference
Schoch, David. 2022. "Mathematical Foundations of Network Centrality." Seminar Series at Network Science and Social Network Analysis group, University of Utah, 2022-08-12.