Node Centrality Based on Edge Dynamics in a Chaotic Network

This paper introduces a novel node centrality index based on edge dynamics in a complex network: adjacent edge index. Through the analysis of network dynamics and topology, we provide a neat index to qualify node importance, which is calculated by the eigenvector components corresponding to the Fiedler value of the network. Notably, it identifies nodes whose adjacent edge sets play a significant role in network synchronization. The index indicates that not only a node’s degree but also its location should be considered. To demonstrate the effectiveness of the proposed index, consider a double-star network and a Jazz Musicians network in which chaotic Chua’s circuits as nodes are coupled. By factoring in the dynamic information exchange between nodes and their neighbors, this index offers valuable insights for optimizing strategies in engineering areas such as efficient information dissemination.

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Publication Details

Journal
International Journal of Bifurcation and Chaos
Published
2024-08-15
DOI
https://doi.org/10.1142/s0218127424501426
Citations
4
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
1.12

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article

Node Centrality Based on Edge Dynamics in a Chaotic Network

Jinhu Lü, Fangyue Chen, Jin Zhou
4 citations
International Journal of Bifurcation and Chaos
Opinion Dynamics and Social Influence
1.12
article

Node Centrality Based on Edge Dynamics in a Chaotic Network

Jinhu Lü, Fangyue Chen, Jin Zhou
article en
4 citations

Abstract

This paper introduces a novel node centrality index based on edge dynamics in a complex network: adjacent edge index. Through the analysis of network dynamics and topology, we provide a neat index to qualify node importance, which is calculated by the eigenvector components corresponding to the Fiedler value of the network. Notably, it identifies nodes whose adjacent edge sets play a significant role in network synchronization. The index indicates that not only a node’s degree but also its location should be considered. To demonstrate the effectiveness of the proposed index, consider a double-star network and a Jazz Musicians network in which chaotic Chua’s circuits as nodes are coupled. By factoring in the dynamic information exchange between nodes and their neighbors, this index offers valuable insights for optimizing strategies in engineering areas such as efficient information dissemination.

International Journal of Bifurcation and ChaosVol. 34(11)
Wuhan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 23%
Opinion Dynamics and Social Influence
1.12
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