Measuring the communicative constitution of organization as network formation

Area of Science:

• Social Network Analysis
• Organizational Theory
• Computational Social Science

Background:

• Theories of organizational emergence often assume complex cooperation.
• Evaluating organizational development in social networks is challenging.
• Existing methods for measuring organizational strength are context-specific.

Purpose of the Study:

• To propose novel metrics for evaluating the emergence of organization in social networks.
• To validate these metrics using an agent-based model (ABM).
• To assess the minimal conditions required for organizing behavior.

Main Methods:

• Developed metrics based on the four flows theory of the communicative constitution of organizations.
• Utilized an agent-based model (ABM) simulating agents with basic cognitive behaviors and group membership recognition.
• Focused on communication resource allocation biased towards allies, without explicit cooperation.

Main Results:

• The proposed metrics effectively chart the evolution of partial organizations from dissociation to allegiance.
• Organizational strength can be evaluated more efficiently than with previous methods.
• The simulation demonstrated stable heterogeneity and the emergence of organizational figureheads, consistent with real-world social structures.

Conclusions:

• The four flows theory provides a robust framework for measuring organizational emergence.
• Complex social structures and organizing behavior can emerge from simple rules and biased communication, challenging previous assumptions.
• The developed metrics offer a more efficient and generalizable approach to evaluating organizational strength in social networks.