Nonlinear asymptotes of dual information dimension of complex networks

Mingli Lei, Jazmín-Susana De la Cruz-García, Juan Bory-Reyes and Aldo Ramirez-Arellano

Chaos, Solitons & Fractals, 2026, vol. 208, issue P1

Abstract: Extropy is a complementary measure to entropy, proposed as its informational dual. While entropy quantifies the uncertainty or disorder of a distribution, extropy quantifies the certainty or order of the distribution. Extropy has been used in information theory, statistical modeling, complex networks, adaptive systems, and decision-making under uncertainty. From this perspective, the dual information dimension is introduced. The dual information dimension provides an alternative way to measure certainty and network organization by exploiting extropy, offering a complementary view to entropy-based information dimensions.

Keywords: Entropy; Extropy; Information dimension; Asymptote; Complex networks (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:208:y:2026:i:p1:s0960077926002912

DOI: 10.1016/j.chaos.2026.118150

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