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A global cumulative centrality and structure entropy

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  • Cai, Meng
  • Xu, Jiaao
  • Gao, Yining
  • Wang, Wei

Abstract

In this paper, we propose a global cumulative centrality to identify influential nodes in complex networks. It measures a node’s influence using both its local cumulative influence and that of its neighbors. And a new global cumulative structure entropy is proposed based on it. Experimental results on four constructed benchmark networks and six real-world networks show the superiority of our proposed method compared to some well-known classic centrality and structure entropy measurements. Then we use one of the real-world networks to give a brief introduction on how to analyze real complex networks with proposed metrics. This paper also shows the potential of global cumulative centrality in improving link prediction.

Suggested Citation

  • Cai, Meng & Xu, Jiaao & Gao, Yining & Wang, Wei, 2026. "A global cumulative centrality and structure entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 695(C).
    • Handle: RePEc:eee:phsmap:v:695:y:2026:i:c:s0378437126003614
    DOI: 10.1016/j.physa.2026.131625
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