Related concept: Cognitive Data Structures
Data structures define the schema of nodes in the network.
Concepts
What is Big Net? Big Net is a distributed, governed relationship topology that coordinates multiple structured mandala objects horizontally without collapsing boundaries or centralizing control.
Big Net names the network axis of distributed mandala intelligence. While the Mandala Protocol defines valid structured meaning objects, Big Net governs the relationships among them.
Without Big Net, domain integration collapses into flat databases, ungoverned data lakes, or generic link graphs that obscure authority and provenance.
Big Net is not a conventional knowledge graph. It relates rich, structured mandala objects through governed, typed relationships rather than generic links.
Within the framework ecosystem, Big Net governs the horizontal coordination of structured meaning objects across distinct domains.
These are the structural problems that appear when the concept is ignored, collapsed, hidden, or misapplied.
Minimal links that deepen the distinction without turning this page into a dense graph.
Connections across the Big Net must respect semantic and authority boundaries, preventing silent propagation of state.
Big Net Learning Path
This reading path orders the existing Big Net content cluster from introductory primitives to advanced systems-level architecture. Study these pre-release resources in sequence to see how coherence is preserved across distributed networks without collapsing boundaries.
A systems-level view of how intelligence architectures connect across domains, contexts, and scales.
The architectural choice to treat nodes in the network as rich, structured semantic fields rather than flat atomic entities.
The relational keys that use invariant seed rules to connect and coordinate disparate domains.
The structural pathways that map one mandala's perspective to another, maintaining semantic alignment.
The conceptual architecture where structured mandalas participate in governed cross-domain reasoning.
Why Big Net is a governed relationship topology, not a flat database map.
Connecting Big Net to SMM, Domain Mandalas, and future Mandala OS architecture.
Why fact networks, link graphs, and retrieval systems are not enough when meaning and authority must be preserved.