Identifying Transition Modes in Economic Transitions through Network Analysis

Abstract

This research proposes a novel approach to identify transition modes in economic transitions using network analysis techniques. Economic transitions, characterized by shifts in economic structure, policies, and institutions, pose significant challenges and opportunities for policymakers, businesses, and society. By leveraging network analysis methods, this study aims to map the complex interactions and dependencies among various economic sectors, actors, and institutions during transition periods. Through the construction of economic networks based on trade flows, financial linkages, innovation networks, and policy connections, this research seeks to uncover distinct transition modes or patterns that emerge within different economic contexts. The study also explores the role of key network metrics such as centrality, modularity, and resilience in characterizing transition dynamics and identifying critical transition points. By providing insights into the underlying mechanisms driving economic transitions, this research contributes to a better understanding of transition processes and informs strategies for managing and navigating economic transformations effectively.