Using path‐based approaches to examine the dynamic structure of discipline‐level citation networks: 1997–2011 | Zendy

Yan Erjia | Zendy; Yu Qi | Zendy

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Using path‐based approaches to examine the dynamic structure of discipline‐level citation networks: 1997–2011

Author(s) -

Yan Erjia,

Yu Qi

Publication year - 2016

Publication title -

journal of the association for information science and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.903

H-Index - 145

eISSN - 2330-1643

pISSN - 2330-1635

DOI - 10.1002/asi.23516

Subject(s) - citation , spanning tree , path (computing) , set (abstract data type) , tree (set theory) , computer science , critical path method , network science , minimum spanning tree , combinatorics , mathematics , theoretical computer science , complex network , library science , computer network , engineering , systems engineering , programming language

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 S copus 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 M edicine, B iochemistry, C hemistry, M aterials S cience, P hysics, and S ocial S ciences 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 M athematics to D ecision S ciences and the one from M edicine to S ocial S ciences.

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