Towards more convergent main paths: A relevance-based approach

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

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

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.

Original languageEnglish
Article number101317
JournalJournal of Informetrics
Volume16
Issue number3
DOIs
Publication statusPublished - 2022 Aug

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Library and Information Sciences

Fingerprint

Dive into the research topics of 'Towards more convergent main paths: A relevance-based approach'. Together they form a unique fingerprint.

Cite this