The many faces of GESIS
Publications
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.
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.
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.
Chapter in an edited book
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
Aiello, Luca Maria, Yelena Mejova, Oshani Seneviratne, Jun Sun, Sierra Kaiser, and Steffen Staab, ed. 2024 (Forthcoming). WebSci '24: Proceedings of the 16th ACM Web Science Conference. New York: Association for Computing Machinery.
Heiberger, Raphael, Ujwal Gadiraju, Marc Spaniol, Katharina Kinder-Kurlanda, Agnieszka Falenska, Afra Mashhadi, Jun Sun, Sierra Kaiser, and Steffen Staab, ed. 2024 (Forthcoming). WebSci Companion '24: Companion Publication of the 16th ACM Web Science Conference. New York: Association for Computing Machinery.
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.
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, 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. 2022. "Automated Web Data Collection with Python (Fall Seminar)." GESIS - Leibniz-Institut für Sozialwissenschaften, Mannheim.
Other
Soldner, Felix, Jun Sun, and Leon Froehling. 2023. "Automated Web Data Collection with Python (Fall Seminar)." GESIS - Leibniz-Institut für Sozialwissenschaften, Mannheim.