Analysis of the Structural Characteristics of Complex Networks Based on Entropy Measurement
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 255
Special Issue Editors
Interests: complex networks; information fusion; entropy; statistical physics; local constraints
Special Issue Information
Dear Colleagues,
Entropy, as a fundamental concept in information theory and statistical physics, has been widely used to quantify structural complexity, illustrate heterogeneity, and detect organizational patterns in complex networks. It offers a unique perspective for studying the underlying principles that govern the structural characteristics of complex networks.
This Special Issue aims to highlight recent progress in the entropy-driven structural analysis of complex networks. We hope to share original contributions on theoretical proofs regarding the potential limits of entropic measures, novel entropy-based methodologies applied to structural analysis of complex networks, and applications of entropic measurements across different real-world networks, such as the development of different entropy measures (e.g., Shannon, Tsallis, and Boltzmann entropies) for complex networks, computational techniques for large-scale networks based on entropy, and applications of entropic measures in biological, social, economic, and technological networks.
Dr. Qi Zhang
Dr. Yang Liu
Guest Editors
Manuscript Submission Information
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Keywords
- complex networks
- entropy
- structural analysis
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