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September 26, 2025InformationOpen Access

Iterative Optimization of Structural Entropy for Enhanced Network Fragmentation Analysis

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Authors

FÖFatih ÖzaydinVLVasily LubashevskiySOSeval Yurtcicek Ozaydin

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Overview

Observational analysis shows iterative structural entropy fragments networks more decisively than static measures, suggesting its use in adaptive strategies.

Key Points

  • Iterative structural entropy fragments networks earlier, achieving significant reduction in cumulative sizes.
  • On the Netscience network, iterative structural entropy reduces cumulative largest connected component size by 43%.
  • Evaluation was conducted on seven benchmark networks using dynamic metrics including average shortest-path length.
  • These findings indicate the advantages of adaptive measures like iterative structural entropy for effective network interventions.

Cite This Study

Özaydin et al. (2025) studied this question.

synapsesocial.com/papers/68d6c687b1249cec298b2cb2https://doi.org/10.3390/info16100828
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