Recommendation for Cross-Disciplinary Collaboration Based on Potential Research Field Discovery

Wei Liang, Xiaokang Zhou, Suzhen Huang, Chunhua Hu, Qun Jin*

*この研究の対応する著者

研究成果: Conference contribution

抄録

In recent years, cross-disciplinary scientific collaboration has been proved to be promising for both research practice and innovation. Lots of efforts have been spent in collaboration recommendation. However, the cross-disciplinary information is hidden in tons of publications, and the relationships between different fields are complicated, which make it challengeable recommending cross-disciplinary collaboration for a specific researcher. In this paper, a novel cross-disciplinary collaboration recommendation method (CDCR) that unearths the common cross-disciplinary collaboration patterns and historical scientific field preferences of authors is proposed to recommend potential cross-disciplinary research collaboration. In CDCR, a research field discovery algorithm is designed to classify scientific topics obtained from the publications into the correct field automatically. Then, the collaborative patterns are studied through analyzing the composition fields and the corresponding percentage of all publications. Furthermore, we investigate the common correlation of different research fields. Based on the common correlation and the researcher's specific pattern, the most valuable fields will be listed by CDCR. The effectiveness of our approach is evaluated based on a real academic dataset.

本文言語English
ホスト出版物のタイトルProceedings - 5th International Conference on Advanced Cloud and Big Data, CBD 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ349-354
ページ数6
ISBN(電子版)9781538610725
DOI
出版ステータスPublished - 2017 9 6
イベント5th International Conference on Advanced Cloud and Big Data, CBD 2017 - Shanghai, China
継続期間: 2017 8 132017 8 16

出版物シリーズ

名前Proceedings - 5th International Conference on Advanced Cloud and Big Data, CBD 2017

Other

Other5th International Conference on Advanced Cloud and Big Data, CBD 2017
国/地域China
CityShanghai
Period17/8/1317/8/16

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 情報システムおよび情報管理

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