poster

Is Scientific Collaboration Sustainability Predictable?

Authors:

Shuo Yu,

Feng XiaAuthors Info & Claims

WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion

Pages 853 - 854

https://doi.org/10.1145/3041021.3054230

Published: 03 April 2017 Publication History

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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.

References

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C. H. Tsai and Y. R. Lin. Tracing and predicting collaboration for junior scholars. In Proc. of the 25th WWW, pages 375--380. Intl. WWW Conferences Steering Committee, 2016.

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L. Lv and T. Zhou. Link prediction in complex networks: A survey. Physica A: Statistical Mechanics and its Applications, 390(6):1150--1170, March 2011.

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M. J. Fard, P. Wang, S. Chawla, and C. K. Reddy. A bayesian perspective on early stage event prediction in longitudinal data. IEEE Transactions on Knowledge and Data Engineering, 28(12):3126--3139, 2016.

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Cited By

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Guo YZhou Z(2024)SSRES: A Student Academic Paper Social Recommendation Model Based on a Heterogeneous Graph ApproachMathematics10.3390/math1211166712:11(1667)Online publication date: 27-May-2024
https://doi.org/10.3390/math12111667
Lee OHong SKim J(2021)Interinstitutional Research Team Formation Based on Bibliographic Network EmbeddingMobile Information Systems10.1155/2021/66295202021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/6629520
Wang WChen JSun WGong Z(2020)Scientific Collaboration Sustainability Prediction Based on H-index ReciprocityCompanion Proceedings of the Web Conference 202010.1145/3366424.3382702(71-72)Online publication date: 20-Apr-2020
https://dl.acm.org/doi/10.1145/3366424.3382702
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Index Terms

Is Scientific Collaboration Sustainability Predictable?
1. Information systems
  1. Information systems applications
    1. Data mining

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Information & Contributors

Information

Published In

WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion

April 2017

1738 pages

ISBN:9781450349147

General Chairs:
Rick Barrett
W3Events
,
Rick Cummings
Murdoch University
,
Program Chairs:
Eugene Agichtein
Emory University
,
Evgeniy Gabrilovich
Google Research

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 03 April 2017

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Poster

Conference

WWW '17

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IW3C2

WWW '17: 26th International World Wide Web Conference

April 3 - 7, 2017

Perth, Australia

Acceptance Rates

WWW '17 Companion Paper Acceptance Rate 164 of 966 submissions, 17%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all

Guo YZhou Z(2024)SSRES: A Student Academic Paper Social Recommendation Model Based on a Heterogeneous Graph ApproachMathematics10.3390/math1211166712:11(1667)Online publication date: 27-May-2024
https://doi.org/10.3390/math12111667
Lee OHong SKim J(2021)Interinstitutional Research Team Formation Based on Bibliographic Network EmbeddingMobile Information Systems10.1155/2021/66295202021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/6629520
Wang WChen JSun WGong Z(2020)Scientific Collaboration Sustainability Prediction Based on H-index ReciprocityCompanion Proceedings of the Web Conference 202010.1145/3366424.3382702(71-72)Online publication date: 20-Apr-2020
https://dl.acm.org/doi/10.1145/3366424.3382702
Wang WRen JAlrashoud MXia FMao MTolba A(2020)Early-stage reciprocity in sustainable scientific collaborationJournal of Informetrics10.1016/j.joi.2020.10104114:3(101041)Online publication date: Aug-2020
https://doi.org/10.1016/j.joi.2020.101041
Liu JXia FWang LXu BKong XTong HKing I(2019)Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship MiningIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2019.2946825(1-1)Online publication date: 2019
https://doi.org/10.1109/TKDE.2019.2946825
Wang WLiu JYang ZKong XXia F(2019)Sustainable Collaborator Recommendation Based on Conference ClosureIEEE Transactions on Computational Social Systems10.1109/TCSS.2019.28981986:2(311-322)Online publication date: Apr-2019
https://doi.org/10.1109/TCSS.2019.2898198
Wang WXu BLiu JCui ZYu SKong XXia F(2019)CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boostingWorld Wide Web10.1007/s11280-019-00703-yOnline publication date: 18-Jul-2019
https://doi.org/10.1007/s11280-019-00703-y
Nishizawa HKatsurai MOhmukai ITakeda H(2018)Measuring Researcher Relatedness with Changes in Their Research Interests2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)10.23919/APSIPA.2018.8659506(149-152)Online publication date: Nov-2018
https://doi.org/10.23919/APSIPA.2018.8659506

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