Academic Genealogy Analysis Based on Knowledge Graph

Chen Yongyue; Li Ruijing

doi:doi:10.11648/j.ijefm.20210901.14

| Peer-Reviewed

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 Accepted: Published: 3 March 2021

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

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), 2024. Published by Science Publishing Group

Keywords

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

References

[1]	How important is academic heritage? See the 6 main academic genealogies of CAS academicians [EB/OL]. https://new.qq.com/omn/20190921/20190921A0HTGJ00.html?pc
[2]	Robert Kanigher, Jaifen Jiang (translator), Yan Xianning (translator).”Teaching from the best”and scientific heritage [J]. Shenzhou Scholars, 2013 (6): 10-13.
[3]	Wang Shuang, Zhao Xiaoyuan, Pan Yuntao, et al. Research on the growth of scientific and technological talents from the perspective of academic genealogy: a case study of turing award winners in the field of artificial Intelligence [J]. Journal of Intelligence, 2018, 37 (012): 1232-1240.
[4]	Yang Bo. Research on the inheritance and development of academic genealogy based on social network and content analysis [D]. Beijing University of Technology, 2018.
[5]	Wu Jiaqi. Knowledge network and hotspot analysis of user portrait research in China [J]. Modern Intelligence, 2018, 38 (8): 130-143.
[6]	Kim H. Building a k-pop knowledge graph using an entertainment ontology [J]. Knowledge Management Research & Practice, 2017, 15 (2): 305-315.
[7]	Zins C. Knowledge map of information science [J]. Journal of the American Society for Information Science and Technology, 2007, 58 (4): 526-535.
[8]	Fu Jian, Ding Jingda. Comparison of visualization principles between citespace and vosviewer software [J]. Agricultural Library Information, 2019, 31 (10): 31-37.
[9]	Zhang Yu, Liu Yudong, Ji Zhao. Vector similarity measurement method [J]. Acoustic Technology, 2009, 28 (4): 532-536.
[10]	Wang Lancheng, Lou Guozhe. Research on the method and practice of web public opinion management based on knowledge graphs [J]. Intelligence Theory and Practice, 2020, 43 (06): 97-101.
[11]	Steinem D L. The elusive profile of the teenage drug user [J]. Arizona medicine, 1969, 26 (9).
[12]	Song Meiqi, Chen Ye, Zhang Rui. Review of user portrait research [J]. Intelligence Science, 2019, 37 (04): 171-177.
[13]	Zheng Na, Shao Dangguo. Comparative analysis of information visualization and analysis tools: citespace and sati analysis keyword co-presentation as an example [J]. Software, 2017, 38 (10): 39-46.
[14]	Du Yuhuan, Zhang Qing. A bibliometric analysis of community care research on COPD in China [J]. Chongqing Medical, 2020, 49 (06): 981-985.
[15]	Shi Lei, Li Huimin. Knowledge mapping of foreign media convergence research: a bibliometric-based analysis [J]. Journal of Southwest University for Nationalities (Humanities and Social Sciences Edition), 2019, 40 (11): 163-173.
[16]	Qiu Junping, Fu Lihong, Liu Xia. The impact of information resource networking on economic and social development and the countermeasures (I)——An analysis of the impact on economic production and the knowledge economy [J]. Journal of Intelligence, 1999 (06): 541-548.
[17]	Qiu Junping, Zhang Meijuan, Liu Xia. The impact of information resource networking on economic and social development and the countermeasures (II)——Analysis of impacts on economic trade and consumption [J]. Journal of Intelligence, 2000 (01): 51-56.
[18]	Fu Lihong, Qiu Junping, Wang Weijun. The impact of information resource networking on economic and social development and the countermeasures (III)——Analysis of the impact on social development [J]. Journal of Intelligence, 2000 (02): 115-123.
[19]	Wang Weijun, Qiu Junping, Fu Lihong. The impact of information resource networking on economic and social development and the countermeasures (IV)——Negative impact analysis and countermeasure research [J]. Journal of Intelligence, 2000 (03): 194-205.
[20]	Fu Lihong, Qiu Junping, Wang Weijun. Networked information resources and the construction of socialist spiritual civilization (I)——Analysis of opportunities and challenges [J]. Chinese Library Journal, 2000 (04): 16-21.
[21]	Huang Chengfang, Li Ning, Liu Li, Liu Yuan, Zhang Zhengtao, Chen Xi. International literature characteristics and hotspot evolution in agriculture under climate change: a citespace v-based bibliometric analysis [J]. China Agricultural Meteorology, 2019, 40 (08): 477-488.
[22]	Chen Chun, Luo Xiaoyan, Liu Ming. Analysis of the evolution of research hotspots in mammalian response to climate change: a zoology record-based bibliometric analysis [J]. Journal of Veterinary Science, 2017, 37 (01): 109-114.
[23]	L. Egghe. Mathematical relations of the h-index with other impact measures in a Lotkaian framework [J]. Mathematical and Computer Modelling, 2011, 53 (5-6): 610-616.
[24]	Alberto H. Laender, Bruno L. Alves. The H-index paradox: your coauthors have a higher H-index than you do [M]. Springer- Verlag New York, Inc. 2016.
[25]	L. Egghe. Impact coverage of the success-index [J]. Journal of Informetrics, 2014, 8 (2): 384-389.

Cite This Article

Plain Text BibTeX RIS

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

Copy | Download

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

Author Information

Chen Yongyue

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

School of Management, Wuhan Textile University, Wuhan, China

Download PDF

Sections

Plain Text BibTeX RIS

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

Copy | Download

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