Towards more convergent main paths: A relevance-based approach

Chen-Hao Huang, John S. Liu, Mei Hsiu-Ching Ho and Tzu-Chuan Chou

Journal of Informetrics, 2022, vol. 16, issue 3

Abstract: This research proposes a new approach that considers citation relevance in main path analysis (MPA). Traditional MPA assumes that all citations have equal weight, but in practice treating every citation equally may not find the main paths that truthfully reflect the knowledge flow in a target science field. To address the issue, this study suggests taking the level of relevance among documents into consideration. For demonstration purposes, the level of relevance is determined by similarity in both citation structure and key phrases among documents. The approach not only achieves convergence of development trajectories, but also helps frame the topics on the main paths to a specific concept from a wide range of research domains. This study takes health interoperability fields as the demonstration case to show the effects of converging the trajectories toward a target domain.

Keywords: Citation relevance; Literature review; Main path analysis; Health interoperability standards (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1751157722000694
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:16:y:2022:i:3:s1751157722000694

DOI: 10.1016/j.joi.2022.101317

Access Statistics for this article

Journal of Informetrics is currently edited by Leo Egghe

More articles in Journal of Informetrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().