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Veröffentlichungen

Publikation

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Zeitschriftenaufsatz

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.

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.

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Beitrag im Sammelwerk

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.

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Monographie

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

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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.

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Daten/Software

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

Vortrag

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Konferenzbeitrag

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.

Lehre

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Vorlesung

Sun, Jun. 2021. "(University Koblenz) Introduction to Web Science."

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Seminar

Soldner, Felix, Jun Sun, and Leon Froehling. 2022. "Automated Web Data Collection with Python (Fall Seminar)." GESIS - Leibniz-Institut für Sozialwissenschaften, Mannheim.

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Sonstiges

Soldner, Felix, Jun Sun, and Leon Froehling. 2023. "Automated Web Data Collection with Python (Fall Seminar)." GESIS - Leibniz-Institut für Sozialwissenschaften, Mannheim.