Bi-Layer Network Analytics: A Methodology for Characterizing Emerging General-Purpose Technologies

Yi Zhang, Mengjia Wu, Wen Miao, Lu Huang, Jie Lu, Bi-layer network analytics: A methodology for characterizing emerging general-purpose technologies, Journal of Informetrics, Volume 15, Issue 4, 2021, 101202, ISSN 1751-1577, https://doi.org/10.1016/j.joi.2021.101202.

26 Pages Posted: 21 Apr 2021 Last revised: 27 Oct 2021

See all articles by Yi Zhang

Yi Zhang

University of Technology Sydney

Mengjia Wu

University of Technology Sydney (UTS)

Wen Miao

Beijing Institute of Technology

Lu Huang

affiliation not provided to SSRN

Jie Lu

University of Technology Sydney

Date Written: April 21, 2021

Abstract

Despite the tremendous contributions bibliometrics has made to profiling technological landscapes and identifying emerging topics, reliable methods for predicting potential technological changes are still elusive. To fill this gap, we propose a methodology based on bi-layer network analytics that characterizes emerging general-purpose technologies. The framework incorporates three novel indicators that quantify a technology’s technical potential and social impacts, not just in one specific technological area but in a wide range of domains. Missing links in the network are extrapolated through a refined link prediction method, and a weighted resource allocation index ranks both current technologies and their predicted evolutions to reveal candidate innovations for further empirical and/or expert analysis. A case study on information science incorporating quanlitative and qualitative validations demonstrates the methodology to be feasible and reliable. Researchers and policymakers in information science and bibliometrics should find valuable decision support from the empirical insights presented.

Keywords: bibliometrics, network analytics, emerging technologies, general-purpose technologies, information science

Suggested Citation

Zhang, Yi and Wu, Mengjia and Miao, Wen and Huang, Lu and Lu, Jie, Bi-Layer Network Analytics: A Methodology for Characterizing Emerging General-Purpose Technologies (April 21, 2021). Yi Zhang, Mengjia Wu, Wen Miao, Lu Huang, Jie Lu, Bi-layer network analytics: A methodology for characterizing emerging general-purpose technologies, Journal of Informetrics, Volume 15, Issue 4, 2021, 101202, ISSN 1751-1577, https://doi.org/10.1016/j.joi.2021.101202., Available at SSRN: https://ssrn.com/abstract=3830937 or http://dx.doi.org/10.2139/ssrn.3830937

Yi Zhang

University of Technology Sydney ( email )

15 Broadway, Ultimo
PO Box 123
Sydney, NSW 2007
Australia
2007 (Fax)

Mengjia Wu (Contact Author)

University of Technology Sydney (UTS) ( email )

15 Broadway, Ultimo
PO Box 123
Sydney, NSW 2007
Australia

Wen Miao

Beijing Institute of Technology ( email )

5 South Zhongguancun street
Center for Energy and Environmental Policy Researc
Beijing, Haidian District 100081
China

Lu Huang

affiliation not provided to SSRN

Jie Lu

University of Technology Sydney ( email )

15 Broadway, Ultimo
PO Box 123
Sydney, NSW 2007
Australia
2007 (Fax)

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