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Tracing and Predicting Collaboration for Junior Scholars

Tsai, Chun-Hua and Lin, Yu-Ru (2016) Tracing and Predicting Collaboration for Junior Scholars. In: Proceedings of the 25th International Conference Companion on World Wide Web, 11 April 2016 - 15 April 2016, Montreal, Canada.

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Abstract

Academic publication is a key indicator for measuring scholars' scientific productivity and has a crucial impact on their future career. Previous work has identified the positive association between the number of collaborators and academic productivity, which motivates the problem of tracing and predicting potential collaborators for junior scholars. Nevertheless, the insufficient publication record makes current approaches less effective for junior scholars. In this paper, we present an exploratory study of predicting junior scholars' future co-authorship in three different network density. By combining features based on affiliation, geographic and content information, the proposed model significantly outperforms the baseline methods by 12% in terms of sensitivity. Furthermore, the experiment result shows the association between network density and feature selection strategy. Our study sheds light on the re-evaluation of existing approaches to connect scholars in the emerging worldwide Web of Scholars.


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Details

Item Type: Conference or Workshop Item (Paper)
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Tsai, Chun-Hua
Lin, Yu-Ruyurulin@pitt.eduYURULIN
Date: 11 April 2016
Date Type: Publication
Page Range: 375 - 380
Event Title: Proceedings of the 25th International Conference Companion on World Wide Web
Event Dates: 11 April 2016 - 15 April 2016
Event Type: Conference
DOI or Unique Handle: 10.1145/2872518.2890516
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
Date Deposited: 27 Jul 2016 18:10
Last Modified: 01 Nov 2017 13:56
URI: http://d-scholarship.pitt.edu/id/eprint/28985

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