Journal article
Using path‐based approaches to examine the dynamic structure of discipline‐level citation networks: 1997–2011
Journal of the Association for Information Science and Technology, v 67(8), pp 1943-1955
Aug 2016
Abstract
The objective of this paper is to identify the dynamic structure of several time‐dependent, discipline‐level citation networks through a path‐based method. A network data set is prepared that comprises 27 subjects and their citations aggregated from more than 27,000 journals and proceedings indexed in the Scopus database. A maximum spanning tree method is employed to extract paths in the weighted, directed, and cyclic networks. This paper finds that subjects such as Medicine, Biochemistry, Chemistry, Materials Science, Physics, and Social Sciences are the ones with multiple branches in the spanning tree. This paper also finds that most paths connect science, technology, engineering, and mathematics (STEM) fields; 2 critical paths connecting STEM and non‐STEM fields are the one from Mathematics to Decision Sciences and the one from Medicine to Social Sciences.
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Details
- Title
- Using path‐based approaches to examine the dynamic structure of discipline‐level citation networks: 1997–2011
- Creators
- Erjia Yan - Drexel UniversityQi Yu - Shanxi Medical University
- Publication Details
- Journal of the Association for Information Science and Technology, v 67(8), pp 1943-1955
- Publisher
- Wiley
- Number of pages
- 13
- Grant note
- Elsevier Bibliometric Research Program (EBRP) National Natural Science Foundation of China (71103114) The Theoretical and Empirical Study of S&D Collaboration Characterized by Collaboration Prediction—Based on the Data in Biomedical Fields (71473154)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000380043200012
- Scopus ID
- 2-s2.0-84978945354
- Other Identifier
- 991014976814404721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Information Science & Library Science