Publication: Early identification of important patents: Design and validation of citation network metrics
Early identification of important patents: Design and validation of citation network metrics
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Mariani, M., Medo, M., & Lafond, F. (2019). Early identification of important patents: Design and validation of citation network metrics. Technological Forecasting and Social Change, 146, 644–654. https://doi.org/10.1016/j.techfore.2018.01.036
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One of the most challenging problems in technological forecasting is to identify as early as possible those technologies that have the potential to lead to radical changes in our society. In this paper, we use the US patent citation network (1926–2010) to test our ability to early identify a list of expert-selected historically significant patents through citation network analysis. We show that in order to effectively uncover these patents shortly after they are issued, we need to go beyond raw citation counts and take into account bo
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- Medo, Matúš
- Lafond, François
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Citations
Mariani, M., Medo, M., & Lafond, F. (2019). Early identification of important patents: Design and validation of citation network metrics. Technological Forecasting and Social Change, 146, 644–654. https://doi.org/10.1016/j.techfore.2018.01.036
