To top

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.




To top

Research

My main research interests lie in the field of Social Network Analysis and Disinformation on Social Media To top

Publications

Publication

To top

Journal article

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.

To top

Contribution to edited volume

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.

Lecture

To top

Conference 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 top

Contribution 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.