The Network Structures and Characteristics of Global Hubs of STI in Big Data Analysis and Mining Technology-Reference-Cited by-同舟云学术

The Network Structures and Characteristics of Global Hubs of STI in Big Data Analysis and Mining Technology

Published:2023-03-25 Issue:2 Volume:28 Page:257-277
ISSN:0971-7218
Container-title:Science, Technology and Society
language:en
Short-container-title:Science, Technology and Society

Author:

He Peng¹,Bai Xu²,Cao Di³,Wu Jinxi⁴

Affiliation:

1. Peng He, School of Social Science, Tsinghua University, Beijing, China.

2. Xu Bai, School of Social Science, Tsinghua University, Beijing, China.

3. Di Cao, School of Social Science, Tsinghua University, Beijing, China.

4. Jinxi Wu (corresponding author), School of Social Science, Tsinghua University, Beijing 100084, China.

Abstract

Global hubs of STI are strategic nodes in the global science network and will lead the future of global scientific progress. This paper takes big data analysis and mining technology as an example, exploring the structures and characteristics of global science network of 15 representative global hubs of STI from 2000 to 2019. Based on the data of highly cited papers and methods of social network analysis, we find that the global science network has the structure of hierarchy, with an obvious characteristic of regionality. Based on the structures and characteristics of global science network, the knowledge flow and management model of global hubs has been proposed, which may be conducive to strengthening the knowledge management and network collaboration among global hubs of STI in other frontier technologies.

Publisher

SAGE Publications

Subject

Multidisciplinary

Link

http://journals.sagepub.com/doi/pdf/10.1177/09717218231161202

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