- Title
- Is scientific collaboration sustainability predictable?
- Creator
- Wang, Wei; Cui, Zixin; Gao, Tong; Yu, Shuo; Kong, Xiangjie; Xia, Feng
- Date
- 2017
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/183895
- Identifier
- vital:16403
- Identifier
- https://dl.acm.org/doi/abs/10.1145/3041021.3054230
- Identifier
- ISBN:978-1-4503-4914-7
- Abstract
- This work aims to explore whether the sustainability of scientific collaboration including collaboration duration and collaboration times can be predicted. For this purpose, we propose a series of features including structural similarity indices, authorship properties, and research interests. Experimental results on a real-world dataset show that our proposed model outperforms baseline model by 10% in MAE. Our study may shed light on investigating scientific collaboration from the perspective of sustainability.
- Publisher
- ACM
- Relation
- WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion; Perth; April 2017 p. 853-854
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
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