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Comment on the paper “Identifying critical nodes in complex networks based on distance Laplacian energy”

Author

Listed:
  • Wang, Jinping
  • Sun, Shaowei

Abstract

Recently, Yin et al. published the article titled “Identifying critical nodes in complex networks based on distance Laplacian energy” in which they proposed a new vertex centrality called distance Laplacian centrality (DLC) to identify critical nodes. However, we find that DLC can only be used in specific networks, which are still connected after removing any individual node. Meanwhile, some incorrect properties were used. Therefore, in this paper, we explain the reason that the property is incorrect and make corrections. In addition, we provide two centrality methods based on two different distance energies to solve the problem caused by disconnected networks.

Suggested Citation

  • Wang, Jinping & Sun, Shaowei, 2024. "Comment on the paper “Identifying critical nodes in complex networks based on distance Laplacian energy”," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).
    • Handle: RePEc:eee:chsofr:v:187:y:2024:i:c:s0960077924008956
    DOI: 10.1016/j.chaos.2024.115343
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