Related concept: Cognitive Data Structures
Data structures hold the conceptual definitions of the node.
Concepts
In Big Net, nodes are not simple flat entities or text labels. Every node is a rich, structured mandala object possessing its own internal architecture.
Mandalas as Nodes means that a node carries its own internal validation layers (syntax, logic, ontology). Consequently, node validity precedes network validity.
If nodes are flat data points, the network has no capacity for local verification or contextual alignment, leading to uninspected error propagation.
A normal graph node carries label identity alone. A mandala node carries internal structural architecture that enforces semantics before connection.
Within Big Net, this principle guarantees that network nodes are capable of local verification and autonomous reasoning.
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.
No node in Big Net can be simplified to a flat value without exposing its internal layer verification status.
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.