Cryptographic Token Minting Scheduler for Decentralized Networks
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Solution Overview
Problem
Decentralized computing platforms face computational inefficiencies when calculating measures of centrality in graphs, particularly with algorithms that scale poorly, such as Shapely values, making it infeasible for large graphs due to high computational complexity.
Innovation Solution
A distributed computer system computes network centrality measures and allocates cryptographic tokens based on these scores, using a decentralized computing platform to determine network-effect scores for content contributors, and records these in a tamper-evident acyclic graph, enabling efficient token allocation and network performance reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional algorithms (e.g., Shapely values) are used to compute network centrality measures in decentralized platforms, then measurement precision is improved, but computational complexity increases exponentially making it infeasible for large graphs
Solution Approach 1:
The patent segments the computation of network centrality measures by introducing a scheduled minting mechanism that divides the graph into manageable components. Instead of computing Shapely values for the entire graph at once, the system processes transactions in discrete blocks and computes centrality measures incrementally as new transactions are added, reducing the computational burden from exponential to polynomial time complexity.
Solution Approach 2:
The system performs preliminary actions by pre-computing and storing base centrality values for nodes before new transactions occur. When new transactions are added, the system only needs to compute the marginal changes in centrality rather than recalculating from scratch, significantly reducing computational complexity while maintaining measurement precision.
2Measurement precision
If decentralized computing platforms process all transactions to compute network-effect scores, then measurement precision is improved, but processing time increases making real-time token allocation infeasible
Solution Approach 1:
The patent implements periodic action through a scheduled minting mechanism where cryptographic tokens are allocated at fixed intervals (e.g., every block or at specific time points) rather than continuously for every transaction. The system accumulates transactions during intervals and performs batch processing to compute network-effect scores, reducing processing time while maintaining accuracy through periodic updates.
Solution Approach 2:
The system skips detailed processing of individual transactions by using sampling techniques and aggregation methods. Instead of analyzing every single transaction in real-time, the system samples representative transactions and rushes through the computation by using approximate algorithms that provide sufficient precision for token allocation decisions without requiring exhaustive analysis of all transactions.
3Adaptability or versatility
If cryptographic tokens are allocated based on comprehensive network centrality calculations, then fairness in value attribution is improved, but computational cost increases making scalable deployment difficult
Solution Approach 1:
The patent applies parameter changes by adjusting the precision and granularity of network centrality calculations based on the size of the graph and the number of transactions. For small graphs, the system uses exact Shapely value computations, while for large graphs, it transitions to approximate methods with controlled error margins. This adaptive parameter adjustment maintains fairness in value attribution while significantly reducing computational energy consumption for scalable deployment.
Data Source
AI summary
Described processes include: obtaining instantiation records of a cryptographic token; selecting historical instantiations of the cryptographic token; determining, based on a measure of central tendency of the adjusted tractable values of the selected historical instantiations, a target tractable value of a new instantiation period; accessing transaction records corresponding to one or more transactions in which amounts of the cryptographic token were transferred to addresses inoperable to transfer received cryptographic tokens to other addresses; identifying, from the transaction records, transactions corresponding to the new instantiation period; and determining to instantiate the cryptographic token for the new instantiation period in response to identifying a set of transactions corresponding to the new instantiation period having an aggregate tractable value meeting or exceeding the target tractable value of the new instantiation period.