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.

CN122113060APending Publication Date: 2026-05-29NINGXIA UNIVERSITY

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

Technical Problem

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.

Method used

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.

Benefits of technology

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.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides a copyright incentive protection method and system based on a directed acyclic graph and a decay model, and belongs to the technical field of blockchains. The method comprises the following steps: system initialization, defining participating nodes in a copyright incentive protection platform, including user nodes, platform verification nodes, incentive distribution nodes and audit nodes; defining a DAG graph for expressing a propagation relationship and a copyright node index database structure; according to original works and derivative works uploaded by user nodes, using a smart contract, calling the copyright node index database to perform on-chain transactions, updating index data and incentive record tables of the copyright node index database, and updating the DAG graph according to reference behaviors between works; defining an integral calculation rule for the nodes, adjusting calculation parameters according to a propagation index, adjusting the total value of author integrals, calculating incentive distribution in combination with a propagation path, realizing linkage between secondary creation benefits and original author contributions, ensuring that the original author obtains benefits in each derivative propagation, and realizing fair tracing and continuous benefit distribution.
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