Abstract
Recently, the valuation of intangible assets, such as patents, has been an important technique for an R&D strategy. A citation analysis is proposed for the valuation. The citation analysis is a method in which a patent is considered valuable in accordance with the large number of citing documents. Particularly, a cocitation analysis is focused for the valuation. While the co-citation analysis is of great interest as the valuation method, the co-citation analysis is not examined fully and does not define any frameworks. Consequently, the co-citation analysis has not analyzed citation data. Therefore, we enhance the co-citation analysis and propose frameworks of the patent valuation. The first purpose of the present research is to detect the patent cluster indicating significant value by clustering the patents properly. The second purpose of the present research is to evaluate technology progress and obsolescence by analyzing transition of the patent value.
