Network science aims at developing methods and tools for the collection, processing, and analysis of relational data (e.g., from social media or sensor data) which can be modeled as a network. Network models facilitate the explanation and prediction of the structure and dynamics of social systems.
Our research on Network Science
- Measuring face-to-face interactions via RFID sensors in various environments (e.g., academic conferences) and combining these data with survey data on behavior and personality traits
- Networks of interactions between users of online platforms (such as Wikipedia, Reddit, Twitter), statistical modeling of patterns of online interactions (regarding information behavior, cooperation, conflict etc.)
- Generative network models which aim to explain and predict the behavior of subpopulations (e.g., collaborations between female and male researchers)
- Cultural networks that link geographical regions through shared online preferences
- Sun, Jun, and Jérôme Kunegis. 2016. Wiki-talk Datasets. doi: https://doi.org/10.5281/zenodo.49561.
- Sun, Jun, Steffen Staab, and Jérôme Kunegis. 2018. "Understanding Social Networks Using Transfer Learning." doi: https://doi.org/10.1109/MC.2018.2701640.
- Sun, Jun, Matúš Medo, and Steffen Staab. 2020. "Time-invariant degree growth in preferential attachment network models." doi: https://doi.org/10.1103/PhysRevE.101.022309.
- Schoch, David, and Termeh Shafie. 2024. "The interplay of structural features and observed dissimilarities among centrality indices." Social Networks 78 (July 2024): 54-64. doi: https://doi.org/10.1016/j.socnet.2023.11.006.
- Wolf, Christof, and Lydia Repke. 2023. "Egozentrierte Netzwerke: Datenerhebung und Datenanalyse." online first. In Handbuch Netzwerkforschung, edited by Christian Stegbauer, and Roger Häußling, Netzwerkforschung. Wiesbaden: Springer VS. doi: https://doi.org/10.1007/978-3-658-37507-2_41-1.
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Entwicklung und Bedeutung sozialer Beziehungen im Kontext der Covid-19-Pandemie
(LoneCovid)
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2023-02-01 | 2026-01-31 | Bund |
Knowledge Technologies for the Social Sciences
Stellvertretender Abteilungsleiter
FAIR Data
Teamleiter
Stellvertretender Abteilungsleiter
FAIR Data
Teamleiter
Vorstandsbereich
Scientific Coordinator for Digital Behavioral Data
Scientific Coordinator for Digital Behavioral Data
Find out more about our consulting and services:
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GESIS Guides to Digital Behavioral Data
Expertise and hands-on advice on the acquisition and analysis of digital behavioral data and the computational methods needed.