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Sun, J. et al. 2020. Time-invariant degree growth in preferential attachment network models. Physical Review E. 101, 2 (2020), 022309. DOI:https://doi.org/10.1103/PhysRevE.101.022309. [DOI:10.1103/PhysRevE.101.022309 | URL | BibTeX | BibSonomy]
2018
Sun, J. et al. 2018. Decay of Relevance in Exponentially Growing Networks. Proceedings of the 10th ACM Conference on Web Science (WebSci '18) (2018), 343–351. [PDF | URL | BibTeX | BibSonomy]
Sun, J. et al. 2018. Understanding Social Networks Using Transfer Learning. Computer. 51, 6 (2018), 52–60. DOI:https://doi.org/10.1109/MC.2018.2701640. [PDF | DOI:10.1109/MC.2018.2701640 | URL | BibTeX | BibSonomy]
2017
Sengupta, K. et al. 2017. Analyzing the Impact of Cognitive Load in Evaluating Gaze-based Typing. 30th IEEE International Symposium on Computer-based Medical Systems (2017). [PDF | BibTeX | BibSonomy]
Kunegis, J. et al. 2017. The Problem of Action at a Distance in Networks and the Emergence of Preferential Attachment from Triadic Closure. Journal of Interdisciplinary Methodologies and Issues in Science. 2, (2017). DOI:https://doi.org/10.18713/JIMIS-140417-2-4. [PDF | DOI:10.18713/JIMIS-140417-2-4 | BibTeX | BibSonomy]
2016
Ji, Y. et al. 2016. Quality-Driven Disorder Handling for M-way Sliding Window Stream Joins. 2016 IEEE 32nd International Conference on Data Engineering (ICDE) (2016), 493–504. [PDF | DOI:10.1109/ICDE.2016.7498265 | BibTeX | BibSonomy]
Sun, J. et al. 2016. Predicting User Roles in Social Networks using Transfer Learning with Feature Transformation. Proc. ICDM Workshop on Data Mining in Networks (2016). [PDF | DOI:10.1109/ICDMW.2016.0026 | BibTeX | BibSonomy]
