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
- Mehta, Aditya, Arun Paudyal, Atul Sharma, Zyanya Ambros, Ipek Baris, Jun Sun, Oul Han, and Akram Sadat Hosseini. 2020. "Does the First Mover Advantage Exist on GitHub?" doi: https://doi.org/10.48550/arXiv.2006.02193.
- Kunegis, Jérôme, Jun Sun, and Eiko Yoneki. 2023. Guided Graph Generation: Evaluation of Graph Generators in Terms of Network Statistics, and a New Algorithm. ArXiV Preprint. doi: https://doi.org/10.48550/arXiv.2303.00635.
- Kunegis, Jérôme, Jun Sun, Pawan Kumar, Anna Samoilenko, and Giuseppe Pirró. 2023. SynGraphy: Succinct Summarisation of Large Networks via Small Synthetic Representative Graphs. ArXiV Preprint. doi: https://doi.org/10.48550/arXiv.2302.07755.
- Sun, Jun, Steffen Staab, and Fariba Karimi. 2018. "Decay of Relevance in Exponentially Growing Networks." In Proceedings of the 10th ACM Conference on Web Science (WebSci '18), doi: https://doi.org/10.1145/3201064.3201084.
- Sun, Jun, Jérôme Kunegis, and Steffen Staab. 2016. "Predicting User Roles in Social Networks using Transfer Learning with Feature Transformation." In 2016 IEEE International Conference on Data Mining Workshop (ICDMW), doi: https://doi.org/10.1109/ICDMW.2016.0026.
Title | Start | End | Funder |
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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.