Intelligent Identification of Field Development Trajectory Based on Topic Evolution: A Case Study of Artificial Intelligence

Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》

Zhou Yuan Zhang Chao Tang Jie Liu Yufei Zhang Yutao

Abstract： [Purpose/significance] Identifying the trajectory of development is of great importance to scientific and technological innovations. However, existing methods such as expert interviews and citation analysis cannot meet the current situation of the explosive growth of literature. In response to this problem, this paper proposes a new identification method of filed development trajectory. [Method/process] This method identifies the research topics and related scholars by using Kmeans ++ and spectral clustering algorithms with the keyword-scholar matrix, calculates the correlation between different topics, and finally visualizes the trajectory of developmen. [Result/conclusion] Through the empirical analysis of the field of artificial intelligence, the results show that the method can effectively reflect the evolution of the topic of field research, help researchers quickly locate popular research topics and focuses, and enrich the research methods related to the trajectory of field development.

 Hits 1456  Downloads 645  Comment 0