Academic Genealogy Analysis Based on Knowledge Graph

Abstract

[Background] In the process of development of science, scientific theories are constantly improved and evolved, and technologies are constantly changed. The process of passing on and developing knowledge, technology, and culture from generation to generation of scientists and technologists, as well as the process of the new generation of scientists and technologists stepping on the shoulders of their predecessors and creating new knowledge, has had a positive and facilitating influence on the development of science. From this perspective, it is necessary and urgent to sort out disciplinary genealogical relationships, clarify the lineage of knowledge transmission, and study the academic genealogy of contemporary Chinese scientists.[Purpose/significance] Through the study of academic genealogical reproduction capacity, it is possible to understand the evolutionary process of knowledge transformation and innovation in the intergenerational transmission of knowledge, to explore the impact on the intergenerational transmission of knowledge, to promote knowledge transformation, and to cultivate modern scientific and technological talents. [Method/process] This paper applies the theories and methods of bibliometrics, social network analysis, and co-word analysis, a visualization technique is used to construct a model for analyzing the factors influencing the reproductive capacity of scientists' academic genealogy. [Results/conclusions] The analysis targets senior scholar Qiu Junping and his descendants, constructs a knowledge map of the academic genealogy of scientists, and discusses the factors influencing the reproductive capacity of academic genealogy.