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December 2, 2025Scientific ReportsOpen Access

Measurement of influential nodes in networks based on community structure information entropy

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Authors

XWXiaohua WangQYQing YangZYZhu Yutao

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Overview

Observational analysis improves recognition of influential nodes in networks, indicating enhanced efficiency and universality.

Key Points

  • LCE leverages community structures to improve the identification of influential nodes, reducing misinformation spread.
  • Experimental results show that LCE demonstrates significant improvements over traditional methods in computational complexity.
  • Analysis incorporates first-order and second-order neighbor information to derive a comprehensive entropy centrality index.
  • This approach highlights the essential role of community structures in enhancing information dissemination accuracy.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/692e3d846c9b3ab28c1873dahttps://doi.org/10.1038/s41598-025-26986-y
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