Abstract
To better understand the relationship between knowledge in patents and knowledge in publications, previous empirical studies mainly focused on observing similarities between publication and patent networks. This paper aims to extend our understanding of this relationship by analyzing time patterns of their interaction, their knowledge content and knowledge structure. From these three types of analysis, we compared the evolution of two knowledge domains based on similarities, potentially complementarities and differences. We employed a novel method, called the concept approach, to select publications and patents in an emerging knowledge field, namely DNA Nanoscience/Nanotechnology, then performed the co-word and network analysis. Our results not only show that both elements of the stylized ‘science push’ and ‘technology pull’ view can be recognized, but also suggest that co-evolution plays a much more prominent role.
Original language | English |
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Publication status | Published - 5 Sept 2018 |
Event | 13th Annual European Policy for Intellectual Property Conference, EPIP 2018 - ESMT Berlin, Berlin, Germany Duration: 5 Sept 2018 → 7 Sept 2018 Conference number: 13 http://epip2018.org |
Conference
Conference | 13th Annual European Policy for Intellectual Property Conference, EPIP 2018 |
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Abbreviated title | EPIP 2018 |
Country/Territory | Germany |
City | Berlin |
Period | 5/09/18 → 7/09/18 |
Internet address |
Keywords
- Patent
- text-mining