Hierarchical Capability Stratification with Entropy-Weighted TOPSIS and Coupling Coordination Analysis for Heterogeneous Distributed Networks
DOI: 10.23977/infse.2026.070109 | Downloads: 0 | Views: 11
Author(s)
Ruoxuan He 1
Affiliation(s)
1 School of Economics, Yunnan University of Finance and Economics, Kunming, China
Corresponding Author
Ruoxuan HeABSTRACT
Heterogeneous edge computing networks with spatially distributed nodes face persistent capability assessment challenges when node performance depends on multiple non-additive dimensions and inter-subsystem coupling. This paper develops a four-component framework for stratified capability evaluation across 16 distributed nodes characterized by a 5-dimensional capability vector spanning computational, digital, sustainability, infrastructure, and expertise dimensions. The Entropy-Weighted TOPSIS composite indexing module produces a Composite Capability Index that reveals a strongly unbalanced spatial distribution following a single-hub-leading, middle-tier-fragmentation, and tail-cluster-aggregation topology, with the overall mean at 0.32 and the dominant hub reaching 0.78. The regression analysis module quantifies capability impact on system performance, confirming a positive empowerment effect of 0.72 (p < 0.001) concentrated on openness and coordination dimensions while remaining weak on innovation, sustainability, and shared-access dimensions. The Coupling Coordination Degree model identifies that 65% of nodes exhibit mild dyscoordination with the coupling index averaging 0.45 across the panel, while edge-region nodes follow a distinct low-capability-high-openness-high-performance trajectory absent from core nodes. Heterogeneity testing confirms statistically significant capability-performance gaps between edge and core regions and between hub and peripheral clusters under leave-one-out validation. The integrated framework supports adaptive resource allocation for distributed systems requiring fine-grained capability stratification.
KEYWORDS
Entropy-Weighted TOPSIS Indexing, Composite Capability Stratification, Coupling Coordination Degree Model, Heterogeneous Treatment Effect Regression, Distributed Edge Node Assessment, Spatial Performance Disparity DetectionCITE THIS PAPER
Ruoxuan He. Hierarchical Capability Stratification with Entropy-Weighted TOPSIS and Coupling Coordination Analysis for Heterogeneous Distributed Networks. Information Systems and Economics (2026). Vol. 7, No.1, 74-84. DOI: http://dx.doi.org/10.23977/infse.2026.070109.
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