 A novel approach to measuring science-technology linkage: From the perspective of knowledge network couplingZhichao Ba and Zhentao Liang Journal of Informetrics, 2021, vol. 15, issue 3 Abstract: Identifying and measuring science-technology linkage is important for understanding interactions between science and technology (S&T). Previous studies have focused mainly on knowledge linkages of knowledge systems between S&T but have ignored their structural linkages. To this end, we propose a novel knowledge network coupling approach to gauge network linkage between S&T by integrating knowledge linkages and structural linkages. Four network construction strategies were first adopted to determine appropriate knowledge networks of S&T, and then their coupling strengths over time were calculated based on similarities of coupling nodes’ degree distribution and similarities of coupling edges’ weight distribution. An experimental study in the field of energy conservation confirms that our approach was indeed successful in revealing interactions between S&T. The proposed approach enriches the current methodology for measuring S&T linkages and provides references for policymakers to conduct policy adjustments, by identifying the lead-lag relationship between S&T. Keywords: Science-technology linkage; Knowledge network; Network coupling; Structural-coupling strength; Energy conservation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:15:y:2021:i:3:s1751157721000389 DOI: 10.1016/j.joi.2021.101167 Access Statistics for this article Journal of Informetrics is currently edited by Leo Egghe More articles in Journal of Informetrics from Elsevier |
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