Academic Genealogy Analysis Based on Knowledge Graph

Chen Yongyue; Li Ruijing

doi:doi:10.11648/j.ijefm.20210901.14

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Academic Genealogy Analysis Based on Knowledge Graph

Chen Yongyue, Li Ruijing

Published in International Journal of Economics, Finance and Management Sciences (Volume 9, Issue 1)

Received: 14 December 2020 Published: 3 March 2021

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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.

Published in	International Journal of Economics, Finance and Management Sciences (Volume 9, Issue 1)
DOI	10.11648/j.ijefm.20210901.14
Page(s)	29-37
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Knowledge Mapping, Bibliometrics, Academic Genealogy, Visualization, Reproductive Capacity

References

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APA Style

Chen Yongyue, Li Ruijing. (2021). Academic Genealogy Analysis Based on Knowledge Graph. International Journal of Economics, Finance and Management Sciences, 9(1), 29-37. https://doi.org/10.11648/j.ijefm.20210901.14

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ACS Style

Chen Yongyue; Li Ruijing. Academic Genealogy Analysis Based on Knowledge Graph. Int. J. Econ. Finance Manag. Sci. 2021, 9(1), 29-37. doi: 10.11648/j.ijefm.20210901.14

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AMA Style

Chen Yongyue, Li Ruijing. Academic Genealogy Analysis Based on Knowledge Graph. Int J Econ Finance Manag Sci. 2021;9(1):29-37. doi: 10.11648/j.ijefm.20210901.14

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@article{10.11648/j.ijefm.20210901.14,
  author = {Chen Yongyue and Li Ruijing},
  title = {Academic Genealogy Analysis Based on Knowledge Graph},
  journal = {International Journal of Economics, Finance and Management Sciences},
  volume = {9},
  number = {1},
  pages = {29-37},
  doi = {10.11648/j.ijefm.20210901.14},
  url = {https://doi.org/10.11648/j.ijefm.20210901.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20210901.14},
  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.},
 year = {2021}
}

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TY  - JOUR
T1  - Academic Genealogy Analysis Based on Knowledge Graph
AU  - Chen Yongyue
AU  - Li Ruijing
Y1  - 2021/03/03
PY  - 2021
N1  - https://doi.org/10.11648/j.ijefm.20210901.14
DO  - 10.11648/j.ijefm.20210901.14
T2  - International Journal of Economics, Finance and Management Sciences
JF  - International Journal of Economics, Finance and Management Sciences
JO  - International Journal of Economics, Finance and Management Sciences
SP  - 29
EP  - 37
PB  - Science Publishing Group
SN  - 2326-9561
UR  - https://doi.org/10.11648/j.ijefm.20210901.14
AB  - [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.
VL  - 9
IS  - 1
ER  -

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Author Information

Chen Yongyue

School of Management, Wuhan Textile University, Wuhan, China
Li Ruijing

School of Management, Wuhan Textile University, Wuhan, China

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APA Style

Chen Yongyue, Li Ruijing. (2021). Academic Genealogy Analysis Based on Knowledge Graph. International Journal of Economics, Finance and Management Sciences, 9(1), 29-37. https://doi.org/10.11648/j.ijefm.20210901.14

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ACS Style

Chen Yongyue; Li Ruijing. Academic Genealogy Analysis Based on Knowledge Graph. Int. J. Econ. Finance Manag. Sci. 2021, 9(1), 29-37. doi: 10.11648/j.ijefm.20210901.14

Copy | Download

AMA Style

Chen Yongyue, Li Ruijing. Academic Genealogy Analysis Based on Knowledge Graph. Int J Econ Finance Manag Sci. 2021;9(1):29-37. doi: 10.11648/j.ijefm.20210901.14

Copy | Download

@article{10.11648/j.ijefm.20210901.14,
  author = {Chen Yongyue and Li Ruijing},
  title = {Academic Genealogy Analysis Based on Knowledge Graph},
  journal = {International Journal of Economics, Finance and Management Sciences},
  volume = {9},
  number = {1},
  pages = {29-37},
  doi = {10.11648/j.ijefm.20210901.14},
  url = {https://doi.org/10.11648/j.ijefm.20210901.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20210901.14},
  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.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Academic Genealogy Analysis Based on Knowledge Graph
AU  - Chen Yongyue
AU  - Li Ruijing
Y1  - 2021/03/03
PY  - 2021
N1  - https://doi.org/10.11648/j.ijefm.20210901.14
DO  - 10.11648/j.ijefm.20210901.14
T2  - International Journal of Economics, Finance and Management Sciences
JF  - International Journal of Economics, Finance and Management Sciences
JO  - International Journal of Economics, Finance and Management Sciences
SP  - 29
EP  - 37
PB  - Science Publishing Group
SN  - 2326-9561
UR  - https://doi.org/10.11648/j.ijefm.20210901.14
AB  - [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.
VL  - 9
IS  - 1
ER  -

Copy | Download