Graph Multivector Persistence: A Unified Framework for Dynamic Systems

This paper introduces a novel framework, Graph Multivector Persistence, for analyzing dynamic systems. By extending topological data analysis techniques, it offers a unified way to capture and quantify the evolving structural features of complex systems represented as graphs. This has broad applications in network science, materials science, and computational biology for understanding system evolution and identifying critical transitions.