TAG ARCHIVE

influence-propagation

1 MARIA OS blog articles tagged influence-propagation, organized as a Bonginkan topic archive for search engines and LLM retrieval.

1 article|Published by Bonginkan

Judgment OS / Decision Intelligence OS

Core MARIA OS research on turning organizational judgment into executable decision systems.

Agentic Company Architecture

Research on human-agent organizations, delegation boundaries, role topology, and governed autonomy.

Responsibility Gates and AI Governance

Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.

Multi-Agent Mathematics

Formal models for convergence, stability, game theory, graph dynamics, and multi-agent evaluation.

Agentic R&D and Judgment Science

Research operations, simulation labs, judgment science, recursive improvement, and experimental AI governance.

ArchitectureFebruary 14, 202636 min read

Graph Neural Networks for Organizational Network Dynamics: Message-Passing, Spectral Convolutions, and Influence Propagation in Agentic Hierarchies

How GNNs form the Structure Layer that models agent dependencies, information flow, and hierarchical topology in self-governing enterprises

Agentic companies can be modeled as graph structures, where agents connect through dependencies, information channels, and approval chains. This paper formalizes Graph Neural Networks as the Structure Layer (Layer 3), covering message-passing networks for organizational flow, spectral convolutions for hierarchy discovery, graph attention for dynamic topology, and link prediction for emerging dependencies. We also analyze influence-propagation matrices and spectral-radius indicators for governance stability, and describe integration with the MARIA OS Universe visualization.

GNNgraph-neural-networkmessage-passingorganizational-networkagent-dependencyinfluence-propagationhierarchy-formationspectral-analysisagentic-companyMARIA OS