Staff

Journal article

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.

Chapter in an edited book

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.

Editorship

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.

Monograph

Sun, Jun. 2022. Phenomena in growing networks and learning across networks: Dissertation. Universität Stuttgart. doi: https://doi.org/10.18419/opus-12082.

Working and discussion paper

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.

Data/Software

Sun, Jun, and Jérôme Kunegis. 2016. Wiki-talk Datasets. doi: https://doi.org/10.5281/zenodo.49561.

Presentation at a conference

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.

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.

Lecture

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.

Event

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.