Analysis of patent application attention: a network analysis method

• Main Authors: Mao, Shihao, Hu, Yuxia, Yuan, Xuesong, Zhang, Mengyue, Qiu, Qirong, Wu, Peng
• Other Authors: Nanyang Technopreneurship Center
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Mathematics::Statistics; Visibility Graph; Patent Application
• Online Access: https://hdl.handle.net/10356/163644
• Institution: Nanyang Technological University

Patent is an important embodiment of innovation. Before patent application, many people will check a patent application process on the Internet to understand the steps of a patent application. In fact, these people’s search is also a means to understand whether innovative enterprises or individuals imply the importance of innovation. It has become a new crucial problem to obtain more information about time-series data. Research has found that the concept of VG can provide deeper information in time-series data so that it can understand the information of patent applications more comprehensively. After analyzing the data from 1 January 2011 to 31 December 2018, we find: i) there are very few peaks and valleys, and 80% of searches are in the normal range. ii) according to the central value of the ranking, it can be found that the peaks of the annual patent application search times time series occurred in December last year, after January, February of this year or after August-October, and iii) after clustering the time series data, we find that the attention of people shows noticeable segmentation effect.