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September 17, 2025MathematicsOpen Access

A Dynamic Information-Theoretic Network Model for Systemic Risk Assessment with an Application to China’s Maritime Sector

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Authors

LXLin XiaoAKArash Sioofy KhoojineHCHao Chen

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Overview

This research develops a network model assessing systemic risk in China's maritime sector, suggesting monitoring key linkages is vital.

Key Points

  • The model indicates moderate yet heterogeneous dependence among maritime indicators, revealing core structures in the network.
  • Average mutual information values range from about 0.13 to 0.17, highlighting significant interdependencies in maritime data.
  • Dynamic metrics show resilience in the structure but reveal vulnerabilities during turbulent periods, affecting connectivity.
  • Stress tests indicate high redundancy to link failures, yet the diffusion capacity is sensitive to specific multi-node outages.

Cite This Study

Xiao et al. (2025) studied this question.

synapsesocial.com/papers/68d45e6a31b076d99fa5f04chttps://doi.org/10.3390/math13182959
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