Pathways to Continuity Nodes: KEGGO OS, Decision Geometries, and the SignalSense Continuity Nodes Protocol

Abstract

This paper proposes that the relevant unit of analysis in complex networks is not the isolated hub, the static cluster, or the most frequent topic, but the continuity node: a node, edge, motif, or corridor that preserves coherent propagation, adaptive memory, and cross-domain coordination under stress. The theoretical move is from linear causality to relational topology; from “what caused what” to “what preserves the possibility of meaningful transition.” Within this frame, KEGGO OS becomes a network-analytic program: Gate Chemistry identifies recurring micro-architectures of selection, transfer entropy traces directed informational propagation, and effective temperature estimates whether a network is frozen, adaptive, or chaotic. InfraNodus is especially useful as a first-layer instrument because it turns discourse into a graph, surfaces topical communities, influential bridge terms, and structural gaps, and exposes exports and API outputs that can then be extended into temporal, information-theoretic, and perturbation-based continuity analysis. (researchgate.net)

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