Triadic Metaperception in Local Sociometric Networks: The M3-AΩ Framework for Analyzing Expansiveness, Accuracy, Projection, and Consensus

M3-AΩ Scientific Preprint (Version 1.0.2, October 2026) · NEXORD / VISORD Ecosystem. Research on social network cognition has historically been constrained by two major bottlenecks: the combinatorial burden of full Cognitive Social Structures (CSS, requiring O(N²) queries), which leads to participant fatigue, and the psychological reactivity induced by direct inquiries regarding interpersonal rejection. This paper introduces the M3-AΩ Framework, a methodological approach that reduces the elicitation of third-party network cognition to a focused battery of micro-probes targeted at boundary positions (extremes of proximity and relational distancing, alongside their adjacent boundaries) under the Clélie Protocol of non-maleficence by design (substituting explicit rejection with relational abstention or distancing and banning queries regarding third-party rejections). The framework rigorously disentangles three levels of social cognition: Self-centrality perception: where an individual places themselves within the team hierarchy (k_self). Dyadic reflexive metaperception: inward expectations of affinity (pE) and relational distancing (pR). Triadic metaperception of alterity: third-party cognitive conjectures regarding whom boundary peers will preferentially choose. Leveraging a Complete Disjunctive Table, data are analytically decomposed into attributed expansiveness (x), volume error (G), factual accuracy (P, Rec, F₁, J), projection (Pr), and inter-observer consensus, while formalizing the additive decomposition of relational differentials (D = Δe + ΔG). Furthermore, we outline a strategic Correspondence Analysis (CA) where realized interactions establish the active metric space and metaperceptive attributions are projected as supplementary illustrative points, visually tracing individual cognitive distortion vectors. To incorporate higher-order factorial contributions into an exploratory planar synthesis without dimensional truncation, an Exometric 6D → 2D Projection is formulated, incorporating factors 3 to 6 through specific angular displacements (+30°, +60°, -30°, -60°) weighted by singular values, with explicit reporting of its metric distortion (r = 0.4558, Kruskal Stress-1 = 0.3915). The framework is demonstrated on a controlled synthetic dataset (N = 7), establishing algebraic consistency and reproducibility. Open Science Supplement: Includes complete input ORBIT matrices, attribution sets, contingency tables, 6D factorial coordinates, and full bilingual editions (English and Spanish). Platform & Interactive Visualizers: https://josemancor.github.io/nex-ord-web/

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-30
DOI
https://doi.org/10.5281/zenodo.23786700
Primary Topic
Social and Intergroup Psychology
Type
preprint
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preprint

Triadic Metaperception in Local Sociometric Networks: The M3-AΩ Framework for Analyzing Expansiveness, Accuracy, Projection, and Consensus

José Manuel (Dr.) Cornejo Álvarez
Zenodo (CERN European Organization for Nuclear Research)
Social and Intergroup Psychology
preprint

Triadic Metaperception in Local Sociometric Networks: The M3-AΩ Framework for Analyzing Expansiveness, Accuracy, Projection, and Consensus

José Manuel (Dr.) Cornejo Álvarez
preprint en

Abstract

M3-AΩ Scientific Preprint (Version 1.0.2, October 2026) · NEXORD / VISORD Ecosystem. Research on social network cognition has historically been constrained by two major bottlenecks: the combinatorial burden of full Cognitive Social Structures (CSS, requiring O(N²) queries), which leads to participant fatigue, and the psychological reactivity induced by direct inquiries regarding interpersonal rejection. This paper introduces the M3-AΩ Framework, a methodological approach that reduces the elicitation of third-party network cognition to a focused battery of micro-probes targeted at boundary positions (extremes of proximity and relational distancing, alongside their adjacent boundaries) under the Clélie Protocol of non-maleficence by design (substituting explicit rejection with relational abstention or distancing and banning queries regarding third-party rejections). The framework rigorously disentangles three levels of social cognition: Self-centrality perception: where an individual places themselves within the team hierarchy (k_self). Dyadic reflexive metaperception: inward expectations of affinity (pE) and relational distancing (pR). Triadic metaperception of alterity: third-party cognitive conjectures regarding whom boundary peers will preferentially choose. Leveraging a Complete Disjunctive Table, data are analytically decomposed into attributed expansiveness (x), volume error (G), factual accuracy (P, Rec, F₁, J), projection (Pr), and inter-observer consensus, while formalizing the additive decomposition of relational differentials (D = Δe + ΔG). Furthermore, we outline a strategic Correspondence Analysis (CA) where realized interactions establish the active metric space and metaperceptive attributions are projected as supplementary illustrative points, visually tracing individual cognitive distortion vectors. To incorporate higher-order factorial contributions into an exploratory planar synthesis without dimensional truncation, an Exometric 6D → 2D Projection is formulated, incorporating factors 3 to 6 through specific angular displacements (+30°, +60°, -30°, -60°) weighted by singular values, with explicit reporting of its metric distortion (r = 0.4558, Kruskal Stress-1 = 0.3915). The framework is demonstrated on a controlled synthetic dataset (N = 7), establishing algebraic consistency and reproducibility. Open Science Supplement: Includes complete input ORBIT matrices, attribution sets, contingency tables, 6D factorial coordinates, and full bilingual editions (English and Spanish). Platform & Interactive Visualizers: https://josemancor.github.io/nex-ord-web/

Zenodo (CERN European Organization for Nuclear Research)
Universidad Independiente (CR)
Social and Intergroup Psychology
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