The Role of Similarity in Complex Systems and System Collaboration: A Framework for Balancing Homogeneity and Heterogeneity

Abstract

In an era marked by globalization and rapid technological change, modern systems face growing complexity, uncertainty, and dynamic interdependence. Although similarity is essential in shaping system structures and collaborative behavior, prior research lacks an integrated framework for understanding its role in complex systems. This study proposes the High-Low Similarity Component Model (HLSCM), grounded in General Systems Theory and Complex Adaptive Systems Theory, to fill this gap. The model conceptualizes systems as comprising High-Similarity Components (HSC), which support stability, compatibility, and universality, and Low-Similarity Components (LSC), which enable agility, adaptability, and uniqueness. These components are identified based on the degree of similarity among system elements. The HSC represent the homogeneous aspects of the system, while the LSC reflect its heterogeneous features. The interplay between HSC and LSC allows systems to balance homogeneity and heterogeneity in evolving contexts. Furthermore, this study introduces a similarity feedback loop, in which interaction relationships both arise from and reshape similarity structures, creating a recursive, co-evolutionary process. A dynamic balancing mechanism is also proposed to explain how systems navigate tensions between HSC and LSC through principles of functional coordination, adaptive modulation, and tensional balance. Altogether, this research offers a similarity-based framework for systemic analysis, helping scholars and practitioners identify critical similarity components, optimize similarity configurations, and manage collaborative tensions to achieve optimal similarity in complex, dynamic environments.