Computational Social Sciences, insb. Netzwerkanalyse und quantitative Textanalyse; Politische Theorie und Epistemologie


Peer-reviewed Journals

König, Tim u. a. 2022. „The EPINetz Twitter Politicians Dataset 2021. A New Resource for the Study of the German Twittersphere and Its Application for the 2021 Federal Elections“. Politische Vierteljahresschrift 2022 (online first).

Schünemann, Wolf J., Alexander Brand, Tim König, und John Ziegler. 2022. „Leveraging Dynamic Heterogeneous Networks to Study Transnational Issue Publics. The Case of the European COVID-19 Discourse on Twitter“. Frontiers in Sociology 7.

König, Tim. 2022. „Technik als Weltbezug, Affordanzen als Reflexionsbegriff“. Zeitschrift für Politikwissenschaft 32(2): 337–59.

Berg, Sebastian, Tim König, und Ann-Kathrin Koster. 2020. „Political Opinion Formation as Epistemic Practice: The Hashtag Assemblage of #metwo“. Media and Communication 8 (4): 84–95.


Brand, Alexander, Tim König, und Wolf J. Schünemann. 2021. „Using heterogenous information networks for integrative discourse mapping - The Covid19 Example“. In Proceedings of the 1st International Workshop on Knowledge Graphs for Online Discourse Αnalysis (KnOD 2021) co-located with the 30th The Web Conference (WWW 2021): CEUR Workshop Proceedings (2877), hrsg. Konstantin Todorov, Pavlos Fafalios, und Stefan Dietze. Ljubljana,Slovenia.

Brand, Alexander, Wolf Schünemann, Tim König, und Tanja Preböck. 2021. „Detecting policy fields in German parliamentary materials with Heterogeneous Information Networks and Node Embeddings“. In Proceedings of the 1st Workshop on Computational Linguistics for Political Text Analysis (CPSS-2021), 57-62,

Ziegler, John u. a. 2021. „EPINetz: Exploration of Political Information Networks“. In Lecture Notes in Informatics (LNI) - Proceedings, Bonn: Gesellschaft für Informatik, 1603–9.