I made available on Github a set of MySQL and python scripts to create familiarity indicator by IPC class, on NBER patents dataset.
https://github.com/gtarasconi/NBER-familiarity-indicators
Inventor’s familiarity with components of the invention measured by the (a) recent and (b) frequent usage of focal patent’s classes across all US patents. Thus, we calculate a measure of familiarity for each separate class of a focal patent. Therefore, the more recently and frequently a class has been used, its individual measure will be higher.
Based on Fleming 2001
https://funginstitute.berkeley.edu/wp-content/uploads/2012/10/Recombinant-Uncertainty-in-Technological-Search.pdf
https://github.com/gtarasconi/NBER-familiarity-indicators
Inventor’s familiarity with components of the invention measured by the (a) recent and (b) frequent usage of focal patent’s classes across all US patents. Thus, we calculate a measure of familiarity for each separate class of a focal patent. Therefore, the more recently and frequently a class has been used, its individual measure will be higher.
Based on Fleming 2001
https://funginstitute.berkeley.edu/wp-content/uploads/2012/10/Recombinant-Uncertainty-in-Technological-Search.pdf
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