PTNS: patent citation trajectory prediction based on temporal network snapshots

• Published in: Scientific reports Vol. 14; no. 1; pp. 24034 - 15
• Main Authors: Ding, Mingli, Yu, Wangke, Zeng, Tingyu, Wang, Shuhua
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 14.10.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/1046; 639/705/531; 704/844/2787; Citations; Graph representations; Humanities and Social Sciences; Innovations; Intellectual property; Long short-term memory; Machine learning; multidisciplinary; Network snapshots; Neural networks; Patent citation; Prediction models; Principal components analysis; Science; Science (multidisciplinary); Semantics; Technological change; Temporal variations; Time series; Trajectory prediction; Trajectory prediction; Patent citation; Network snapshots; Time series

With the rapid development of science and technology, the pace of development in the knowledge economy is accelerating. Intellectual property, especially patents, is a strategic resource for technological innovation and a crucial support for building an innovative country. Therefore, it is particula...