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.