Predicting coauthorship using bibliographic network embedding-Reference-Cited by-同舟云学术

Predicting coauthorship using bibliographic network embedding

Published:2022-09-17 Issue:4 Volume:74 Page:388-401
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:Asso for Info Science & Tech

Author:

Zhu Yongjun¹^ORCID,Quan Lihong²,Chen Pei‐Ying³,Kim Meen Chul⁴,Che Chao⁵

Affiliation:

1. Department of Library and Information Science Yonsei University Seoul South Korea

2. Department of Media and Communication Sungkyunkwan University Seoul South Korea

3. Department of Information and Library Science, School of Informatics, Computing, and Engineering Indiana University Bloomington Indiana USA

4. Center for Data‐Driven Discovery in Biomedicine Children's Hospital of Philadelphia Philadelphia Pennsylvania USA

5. Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education Dalian University Dalian China

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Link

Reference57 articles.

4. Exploiting scientific collaboration network for enhanced academic event recommendation;Bilal G.;Journal of Engineering Science and Technology,2021

5. Translating embeddings for modeling multi‐relational data;Bordes A.;Advances in Neural Information Processing Systems,2013

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