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Articles

The contents and methods of knowledge network from the perspective of bibliometrics

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Pages 245-257 | Received 28 Sep 2020, Accepted 10 Feb 2021, Published online: 02 Mar 2021
 

ABSTRACT

Knowledge network is widely applied in fields, such as management science, library science, information science and pedagogy, to determine the cutting-edge and popular aspects in relevant fields. It can help us to solve many academic problems by the knowledge network method based on the literature. The knowledge network method has a special value to researchers. Based on the definition of the knowledge network and its basic concepts, this paper reflects the connotation of knowledge network from two aspects: the realisation process of knowledge network and the research status of knowledge network from the perspective of bibliometrics and analyses the methods of knowledge network from the theoretical basis of multidisciplinary level. The knowledge network model is constructed from time-dimension, network type and research field. This research is helpful to construct and analyse knowledge network from different levels of knowledge unit and knowledge relation.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Rongying Zhao

Rongying Zhao received the B.S. degree in agronomy from Gansu Agricultural University, Lanzhou, China, in 1982 and the M.S. degree in management from The China Institute of Science and Technology information, Beijing, China, in 2000 and the PhD degree in management from Wuhan University, Wuhan, China, in 2006. From 1982 to 1997, she worked as an associate researcher at the Information Institute of the Gansu Academy of Agricultural Sciences. From 2000 to 2004, she served as deputy director of CNKI Research Center of Tsinghua Tongfang Optical Disc Co., LTD. She has worked at the School of Information Management at Wuhan University since 2004 and is currently the director of the Chinese Science Evaluation Research Center at Wuhan University. She has written nearly 60 books and more than 140 articles. She is a review expert for journals such as Scientometrics. Her research interests include information measurement and scientific evaluation, knowledge management and competitive intelligence, information management, and information resource management. Prof. Zhao is Executive Director of the Chinese Society of Science and Science Policy and the Index Society of China. Her courses have been rated as ‘national quality courses’ for many times.

Danyang Li

Danyang Li received the double degree of Bachelor of Management and Bachelor of Arts from Wuhan University, Wuhan, China, in 2015. She is currently pursuing the PhD degree in information science at Wuhan University, Wuhan, China. From 2018 to 2019, she served as a teaching assistant of Knowledge Management in Wuhan University. She has edited two books and more than 10 articles. She is a review expert for journals such as Journal of Information Science. Her research interests include scientometrics, knowledge management, and patentometrics. Ms. Li is a member of the China Society of Science and Science Policy. Her awards and honours include Academic Scholarship (Wuhan University) and Outstanding Student Cadre (Wuhan University).

Mingkun Wei

Mingkun Wei was born in 1988. He received the PhD degree in management from Wuhan University, Wuhan, China, in 2018. Since 2019, he has taught and served as a lecturer at the School of Management, Hebei University. He has edited many books and more than 40 articles. ‘Impact evaluation of Open Source Software: An Altmetrics Perspective’ was reported and interviewed by Nature Index in 2017. His research interests include information measurement and scientific evaluation. Dr. Wei’s awards and honours include the National Scholarship of China and top ten Academic Stars (Wuhan University).

Xinlai Li

Xinlai Li received the B.S. degree in management from Wuhan University, Wuhan, China, in 2016. She is currently pursuing the PhD degree in information science at Wuhan University, Wuhan, China. From 2019 to 2020, she served as a teaching assistant of Informetrics at Wuhan University. She has edited four books and more than 10 articles. Her research interests include information measurement and scientific evaluation, and intellectual property rights. Ms. Li is a member of the China Society of Science and Science Policy, and her awards and honours include academic Scholarship (Wuhan University).

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