A copyright incentive protection method and system based on directed acyclic graph and attenuation model
By combining directed acyclic graphs and decay models with smart contracts, this approach solves the problems of existing blockchain copyright protection technologies, such as the inability to trace multi-level dissemination relationships and closed incentive mechanisms. It achieves fair traceability of the work's dissemination path and incentive allocation, thereby improving the system's transparency and credibility.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NINGXIA UNIVERSITY
- Filing Date
- 2026-01-22
- Publication Date
- 2026-05-29
AI Technical Summary
Existing blockchain copyright protection technologies cannot effectively track complex multi-level dissemination relationships, lack incentive mechanisms for secondary creation, resulting in a closed incentive calculation process, a lack of user trust in platform incentive rules, and an inability to publicly verify the dissemination path of works, making it difficult to achieve fair traceability and revenue distribution.
A copyright propagation graph is constructed using a directed acyclic graph (DAG) structure. Combined with a decay model, the propagation relationship calculation and incentive distribution of original and derivative works are realized through smart contracts, ensuring that the original author receives continuous benefits in every derivative propagation. Blockchain technology is used to ensure the immutability and transparency of the data.
It enables complete recording and fair traceability of the dissemination path of works, makes the incentive calculation process open and verifiable, improves the transparency and credibility of the system, reduces human operation costs, and promotes the healthy development of the digital content ecosystem.
Smart Images

Figure CN122113060A_ABST