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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.

More information and and a full publication list can be found here.



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Forschung

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

Publikation

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Zeitschriftenaufsatz

Schoch, David, and Termeh Shafie. 2024. "The interplay of structural features and observed dissimilarities among centrality indices." doi: https://doi.org/10.1016/j.socnet.2023.11.006.

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.

Vollmer, Silvan, David Schoch, and Ulrik Brandes. 2023. "Penalty shootouts are tough, but the alternating order is fair." arXiv. doi: https://doi.org/10.48550/arXiv.2310.04797.

Chan, Chung-hong, and David Schoch. 2023. "rang: Reconstructing reproducible R computational environments." PLoS ONE 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.

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Beitrag 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.

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Daten/Software

Schoch, David, and Chung-hong Chan. 2023. adaR: A Fast 'WHATWG' Compliant URL Parser. https://cran.r-project.org/package=adaR.

Schoch, David. 2023. domainator: Classify Domains using Webservices and Lists. https://github.com/schochastics/domainator.

Schoch, David. 2023. PSAWR: Pushshift' API Wrapper for 'Reddit' Submission and Comment Search. https://cran.r-project.org/package=PSAWR.

Chan, Chung-hong, and David Schoch. 2023. rang: Reconstructing Reproducible R Computational Environments . https://cran.r-project.org/package=rang.

Schoch, David. 2023. Rtumblr: Collecting and Analyzing 'Tumblr' Data. https://github.com/schochastics/Rtumblr.

Schoch, David. 2023. signnet: Methods to Analyse Signed Networks. https://cran.r-project.org/package=signnet.

Schoch, David, and Chung-hong Chan. 2023. webbotparseR: Parse html files containing search engine results. https://github.com/gesistsa/webbotparseR.

Schoch, David, Bernhard Clemm von Hohenberg, Frank Mangold, and Sebastian Stier. 2023. webtrackR: Preprocessing and Analyzing Web Tracking Data. https://cran.r-project.org/web/packages/webtrackR/index.html.

Schoch, David, and Chung-hong Chan. 2022. rtoot: Collecting and Analyzing Mastodon Data. https://cran.r-project.org/package=rtoot.

Vortrag

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Konferenzbeitrag

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.

Sonstiges

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Ehrungen und Preise

Mangold, Frank, David Schoch, and Sebastian Stier. 2023. "Best Paper Award ICA Political Communication Division: How ideological selectivity plays out in high-choice media environments."

Schoch, David. 2023. "William D. Richards, Jr. Software Award ."

Schoch, David, Franziska B Keller, Sebastian Stier, and JungHwan Yang. 2019. "Best Paper Award ICA Computational Methods Interest Group: Coordination patterns reveal online political astroturfing across the world."