Scientific Information Research
Keywords
main path analysis; citation network; knowledge graph; Pajek; research method
Abstract
[Purpose/significance]The main path analysis of citation networks can be used to identify important literature in specific fields and can achieve the extraction of mainstream research threads. This paper will use the main path analysis method to analyze the research path of knowledge graphs and sort out the context of their research development. [Method/process]This paper firstly obtains research papers in the field of knowledge graphs from the Web of Science platform, then uses the HistCite software to generate a direct citation network of the literature, and then imports the data into Pajek to generate multiple main paths of the dataset, and combines the content of the papers on the main paths for qualitative analysis. [Result/ conclusion]Through main path analysis, some main paths in the field of knowledge graphs can be quickly identified, such as the construction of knowledge graph, research on the application of knowledge graphs in recommendation and question answering and other application scenarios, research on the application of knowledge graphs in specific application fields such as manufacturing. These paths reflect the development context and research direction of knowledge graph technology. Review studies have played an important role in the development of the knowledge.
Digital Object Identifier (DOI)
10.19809/j.cnki.kjqbyj.2025.01.004
Recommended Citation
WEI, Ruibin; WANG, Yidan; and XU, Yan
(2025)
"Identifying Research Paths Based on Main Path Analysis:A Case Study of Knowledge Graphs,"
Scientific Information Research: Vol. 7:
Iss.
1, Article 4.
DOI: 10.19809/j.cnki.kjqbyj.2025.01.004
Available at:
https://eng.kjqbyj.com/journal/vol7/iss1/4