Scientific collaborator recommendation in heterogeneous bibliographic networks

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

10 Scopus Citations
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Author(s)

  • Chen Yang
  • Jianshan Sun
  • Shanshan Zhang
  • Gang Wang
  • Zhongsheng Hua

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings of the Annual Hawaii International Conference on System Sciences
PublisherIEEE Computer Society
Pages552-561
Volume2015-March
ISBN (Print)9781479973675
Publication statusPublished - Jan 2015

Publication series

Name
Volume2015-March
ISSN (Print)1530-1605

Conference

Title48th Annual Hawaii International Conference on System Sciences, HICSS 2015
PlaceUnited States
CityKauai
Period5 - 8 January 2015

Abstract

Most of the previous studies on scientific collaborator recommendation are based on social proximity analysis to suggest collaborators. However, the extracted homogeneous features cannot well represent the multiple factors which may implicitly affect the future scientific collaboration. In this paper we propose an approach based on the multiple heterogeneous network features, which has produced good results in our experiments based on a dataset of more than 30,000 ISI papers. This method can help solving the similar problems of people to people recommendation. It generates high quality expert's profiles via integrating research expertise, co-author network characteristics and researchers' institutional connectivity (local and global) through a SVM-Rank based information merging mechanism to perform intelligent matching. The generated comprehensive profiles alleviate information asymmetry and the multiple similarity measures overcome problems related to information overloading. The proposed method has been implemented in Scholar Mate research network (www.scholarmate.com) which is a research 2.0 innovation, promoting research collaboration in virtual scientific community.

Citation Format(s)

Scientific collaborator recommendation in heterogeneous bibliographic networks. / Yang, Chen; Sun, Jianshan; Ma, Jian; Zhang, Shanshan; Wang, Gang; Hua, Zhongsheng.

Proceedings of the Annual Hawaii International Conference on System Sciences. Vol. 2015-March IEEE Computer Society, 2015. p. 552-561 7069722.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review