Centrality is an emerging property.

This study introduces an analytical framework based on network theory for analyzing professional mobility and evaluating unintended consequences of labor market policies. The research conceptualizes the labor market as a complex network system, moving beyond traditional approaches based on individual supply-demand transactions.

The study applies centrality metrics to identify central professions in the professional mobility network. Analysis reveals that central professions are predominantly low-to-medium skilled occupations, characterized by high accessibility for entry and exit rather than economic importance or salary levels.

Results demonstrate how local modifications (single profession) propagate through the system generating spillover effects on interconnected professions.

The primary methodological contribution lies in integrating network science approaches with public policy analysis, offering a computational framework for understanding professional mobility dynamics and their systemic implications. The approach represents an evolution toward a network paradigm in labor market complexity analysis, overcoming limitations of predefined classifications through empirical identification of organic structures emerging from data. This framework enables policymakers to anticipate collateral effects, quantify multiplier effects, identify professions requiring compensatory adjustments, and optimize resource allocation considering systemic interdependencies.