
David Schoch
Computational Social ScienceTransparent Social Analytics
Teamleiter
+49 (0221) 47694-710
David•Schoch[at]gesis•org
vCard
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.More information and and a full publication list can be found here.
Nach oben
Forschung
My main research interests lie in the field of Social Network Analysis and Disinformation on Social MediaNach oben
Veröffentlichungen
Publikation
Nach obenZeitschriftenaufsatz
Schoch, David, Chung-hong Chan, Claudia Wagner, and Arnim Bleier. 2023. "Computational Reproducibility in Computational Social Science." arXiv. doi: https://doi.org/10.48550/arXiv.2307.01918.
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." PLoS ONE 2023 (16-6): e0286761. doi: https://doi.org/10.1371/journal.pone.0286761.
Schoch, David, and Chung-hong Chan. 2023. "Rtoot: Collecting and Analyzing Mastodon Data." Mobile Media & Communication online first. 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.
Nach obenBeitrag im Sammelwerk
Jaidka, Kokil, Eni Mustafaraj, David Schoch, and Kenny Joseph. 2023. "Disrupt, Ally, Resist, Embrace (DARE): Action Items for Computational Social Scientists in a Changing World." In Workshop Proceedings of the 17th International AAAI Conference on Web and Social Media , edited by Styliani Kleanthous, Minsu Park, and Oren Tsur, doi: https://doi.org/10.36190/2023.11.
Vortrag
Nach obenKonferenzbeitrag
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.
Nach obenBeitrag nicht auf Konferenz
Schoch, David. 2022. "Mathematical Foundations of Network Centrality." Seminar Series at Network Science and Social Network Analysis group, University of Utah, 2022-08-12.