AI Article Synopsis
- The study investigates global technology trends in electrical conducting polymer nanocomposites by analyzing a network of patent citations.
- A total of 1421 patents from the USPTO database are used to create this citation network, employing social network analysis techniques.
- Key network metrics like Degree Centrality and Betweenness Centrality are introduced to uncover technology evolution patterns, along with a patent citation map showing relative distances of patents in the network.
Article Abstract
This study aims to obtain global technology evolution by constructing and analyzing patent citation network and patent citation map for the field of electrical conducting polymer nanocomposite. A total of 1421 patents are retrieved from USPTO patent database and patent citation network is established by combing both patent citation and social network analysis. Network properties, e.g. Degree Centrality, Betweenness Centrality, and Closeness Centrality, are calculated for representing several technology evolution mechanisms that first proposed in this study. Also, a distance-based patent citation map is constructed by calculating relative distances and positions of patents in the patent citation network. Quantitative ways of exploring technology evolution are investigated in this study to unveil important or emerging techniques as well as to demonstrate dynamics and visualization of technology evolutions.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127399 | PMC |
| http://dx.doi.org/10.1016/j.techfore.2009.08.006 | DOI Listing |
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