Die vielen Gesichter von GESIS
Vita
Postdoctoral researcher at GESIS – Leibniz Institute for the Social Sciences in Cologne, Germany. He holds a PhD in computer science from the University of Stuttgart. He is interested in analysing and modelling complex emergent phenomena in socio-technical systems and digital behavioral data through interdisciplinary methodologies.Service
KODAQS ToolboxVeröffentlichungen
Zeitschriftenaufsatz
Sun, Jun, and Fariba Karimi. 2024. "Emergence of group size disparity in growing networks with adoption." Communications Physics 7 (19 September 2024): 309. doi: https://doi.org/10.1038/s42005-024-01799-z.
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.
Sun, Jun, Steffen Staab, and Jérôme Kunegis. 2018. "Understanding Social Networks Using Transfer Learning." doi: https://doi.org/10.1109/MC.2018.2701640.
Kunegis, Jérôme, Fariba Karimi, and Jun Sun. 2017. "The Problem of Action at a Distance in Networks and the Emergence of Preferential Attachment from Triadic Closure." doi: https://doi.org/10.18713/JIMIS-140417-2-4.
Beitrag im Sammelwerk
Sun, Jun, Fabienne Kraemer, Anne-Kathrin Stroppe, Yannik Peters, Raniere Gaia Costa da Silva, Julian Dehne, and Jessica Daikeler. 2025. "The KODAQS Toolbox: An Open Educational Resource for Ensuring Data Quality." In RSE Conference Proceedings 2025 (RSECon25), doi: https://doi.org/10.5281/ZENODO.17968155.
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.
Sengupta, Korok, Jun Sun, Raphael Menges, Chandan Kumar, and Steffen Staab. 2017. "Analyzing the Impact of Cognitive Load in Evaluating Gaze-based Typing." doi: https://doi.org/10.1109/CBMS.2017.134.
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.
Ji, Yuanzhen, Jun Sun, Anisoara Nica, Zbigniew Jerzak, Gregor Hackenbroich, and Christof Fetzer. 2016. "Quality-driven disorder handling for m-way sliding window stream joins." In 2016 IEEE 32nd International Conference on Data Engineering (ICDE), doi: https://doi.org/10.1109/ICDE.2016.7498265.
Herausgeberschaft
Twyman, Marlon, Sarah Rajtmajer, Vivek Kumar Singh, Fred Morstatter, Haiming Liu, Jun Sun, Katherine Ognyanova, and Matthew S. Weber, ed. 2025. Websci '25: Proceedings of the 17th ACM Web Science Conference 2025. New York: Association for Computing Machinery. doi: https://doi.org/10.1145/3717867.
Taneja, Harsh, Kiran Garimella, Yongfeng Zhang, Jun Sun, Katherine Ognyanova, and Matthew S. Weber, ed. 2025. Websci Companion '25: Companion Publication of the 17th ACM Web Science Conference 2025. New York: Association for Computing Machinery. doi: https://doi.org/10.1145/3720554.
Heiberger, Raphael, Ujwal Gadiraju, Marc Spaniol, Katharina Kinder-Kurlanda, Agnieszka Falenska, Afra Mashhadi, Jun Sun, Sierra Kaiser, and Steffen Staab, ed. 2024. WebSci Companion ’24: Companion Publication of the 16th ACM Web Science Conference. New York: Association for Computing Machinery. doi: https://doi.org/10.1145/3630744.
Aiello, Luca Maria, Yelena Mejova, Oshani Seneviratne, Jun Sun, Sierra Kaiser, and Steffen Staab, ed. 2024. WebSci ’24: Proceedings of the 16th ACM Web Science Conference. New York: Association for Computing Machinery. doi: https://doi.org/10.1145/3614419.
Monographie
Sun, Jun. 2022. Phenomena in growing networks and learning across networks: Dissertation. Universität Stuttgart. doi: https://doi.org/10.18419/opus-12082.
Arbeits- und Diskussionspapier
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.
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.
Daten/Software
Sun, Jun, and Jérôme Kunegis. 2016. Wiki-talk Datasets. doi: https://doi.org/10.5281/zenodo.49561.
Konferenzbeitrag
Balluff, Paul, Christina Viehmann, Maximilian Linde, Yannik Peters, Jun Sun, and Chung-hong Chan. 2026. "Beyond beyond standardization: Studying robustness of empirical claims from topic modeling through multiverse analysis." 76th Annual International Communication Association Conference, Kapstadt.
Sun, Jun, and Maximilian Linde. 2025. "Can driving mechanisms of contact duration distributions be distinguished?" NetSci 2025, Maastricht, 2025-06-04.
Sun, Jun, Thomas Knopf, Fabienne Kraemer, Anne-Kathrin Stroppe, Yannik Peters, Luis Meija Lopez, Verena Kunz, Fiona Draxler, Raniere Gaia Costa da Silva, Julian Dehne, and Jessica Daikeler. 2025. "Data Quality for Computational Social Science: From Concepts to Infrastructure." ODISSEI Conference 2025, 2025-11-04.
Sun, Jun, and Fariba Karimi. 2025. "Emergence of group size disparity in growing networks with adoption." NetSciSci 2025, Maastricht University, Maastricht, 2025-06-02.
Viehmann, Christina, Jun Sun, Haiko Lietz, and Chung-hong Chan. 2025. "Methods Hub - An Open Source Repository and Interactive Learning Environment for Computational Tools Enabling Network Analysis ." NetSci 2025 Satellite Workshop.
Sun, Jun. 2025. "Modeling growth and inequality in scientific citation and collaboration networks." Government Policies and Scientific Collaboration (GPSC), Leiden University, 2025-05-09.
Sun, Jun, Marcos Oliveira, Fariba Karimi, and Markus Strohmaier. 2022. "Latent learning in networks explains perception change in social gatherings." NetSci 2022, Online, 2022-07-26.
Sun, Jun, and Fariba Karimi. 2022. "Modeling minority arrival in scientific citation networks." NetSci 2022, Online, 2022-07-25.
Vorlesung
Sun, Jun. 2021. "(University Koblenz) Introduction to Web Science."
Seminar
Soldner, Felix, Jun Sun, and Leon Froehling. 2023. "Automated Web Data Collection with Python (Fall Seminar)." GESIS - Leibniz-Institut für Sozialwissenschaften, Mannheim.
Soldner, Felix, Jun Sun, and Leon Froehling. 2022. "Automated Web Data Collection with Python (Fall Seminar)." GESIS - Leibniz-Institut für Sozialwissenschaften, Mannheim.
Veranstaltung
Lietz, Haiko, Marcos Oliveira, Jun Sun, and Mathieu Génois. 2025. "CPIN: Critical Phenomena In Networks." International School and Conference on Network Science (NetSci), Maastricht University, Maastricht, 2025-06-02. https://www.gesis.org/cpin.