• Title: Dynamic assessment method of patent infringement risk based on graph correlation network
• Name: Jie Li
• Company: China Railway Siyuan Survey and Design Group Co.Ltd，Wuhan 430060 China
• Abstract:

  Traditional methods are mostly based on static comparisons of single patent texts or technical features, making it difficult to capture the correlations and dynamic changes among patents. Therefore, a dynamic assessment method for patent infringement risk based on graph correlation networks is designed. The patent infringement risk chain problem is transformed into a weighted directed graph model in graph theory. Patent infringement risk cases and their relationships are represented by nodes and edges. The graph structure is described by using the adjacency matrix. The classical calculation method in FTA analysis is adopted to solve the probability importance of risk cases. The expert scoring is combined with the random forest weighting method. Revise and assess the importance of risky cases. The experimental results show that the proposed method has a minimum evaluation time of 44 ms, can effectively reflect the actual situation, assess the patent infringement risk level more truly, and has good credibility.

  
  

• Keyword: Graph correlation network Patent infringement Infringement risk Dynamic risk assessment
• DOI: 10.12250/jpciams2025090609
• Citation form: Jie Li.Dynamic assessment method of patent infringement risk based on graph correlation network[J]. Computer Informatization and Mechanical System,2025,Vol.8,pp.38-41

Reference

[1]Zhao, Yating, Yan** Zhou, Yang Zhang, and Huiying Chen. "Exploring intellectual property risk inducement and formation mechanism of innovation-oriented enterprises: a grounded theory approach and system dynamics model analysis." Technology Analysis & Strategic Management 36, no. 12 (2024): 4686-4700.

[2]Li, **aoyi. "Patent infringement litigation, executive team risk appetite and corporate innovation." Economics of Innovation and New Technology (2024): 1-24.

[3]Ming, Chenxu, **ang Yu, and Ben Zhang. "Assessing the infringement risk of patent portfolios using network analysis and IF-TOPSIS: A case of standard-essential patent portfolios in the ICT industry." Technology in Society 78 (2024): 102663.

[4]Deng, Yuting, Yong Qi, and Qing Guo. "Impact of patent infringement damages on firms' innovation performance: the moderating effects of patent-intensive industries." Business Process Management Journal 31, no. 3 (2025): 1172-1192.

[5]Rana, Paras, and Ratnesh Srivastava. "AI as a Double-Edged Sword: Intellectual Property Infringement Risks and Mitigation." Issue 3 Int'l JL Mgmt. & Human. 7 (2024): 2896.

[6]Trappey, Amy JC, Shao-Chien Chou, and Gi-Kuen J. Li. "Patent litigation mining using a large language model—Taking unmanned aerial vehicle development as the case domain." World Patent Information 80 (2025): 102332.