ArticleScientific reports2020
Identifying vital nodes in complex networks by adjacency information entropy.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- KSGR: An Influential Node Identification Algorithm for Directed Networks Integrating Reverse Reachability and Structural Enhancement Mechanisms.Entropy (Basel, Switzerland) · 2026Article
- Overlapping community and entropy of neighborhood information for identifying influential nodes in complex networks.Scientific reports · 2025Article
- Finding Key Nodes in Complex Networks Through Quantum Deep Reinforcement Learning.Entropy (Basel, Switzerland) · 2025Article
- A Multi-Attribute Decision-Making Approach for Critical Node Identification in Complex Networks.Entropy (Basel, Switzerland) · 2024Article
- DNA Methylation Changes and Phenotypic Adaptations Induced Repeated Extreme Altitude Exposure at 8848 Meters.International journal of molecular sciences · 2024Article
- Identifying Vital Nodes in Hypergraphs Based on Von Neumann Entropy.Entropy (Basel, Switzerland) · 2023Article
- Analysis of Weather Factors on Aircraft Cancellation using a Multilayer Complex Network.Entropy (Basel, Switzerland) · 2023Article
- An Influence Maximization Algorithm for Dynamic Social Networks Based on Effective Links.Entropy (Basel, Switzerland) · 2022Article
- Influential Nodes Identification in the Air Pollution Spatial Correlation Weighted Networks and Collaborative Governance: Taking China's Three Urban Agglomerations as Examples.International journal of environmental research and public health · 2022Article
- Influential nodes identification using network local structural properties.Scientific reports · 2022Article
- Network diffusion of gender diversity on boards: A process of two-speed opposing forces.PloS one · 2022Article
- Network analysis of population flow among major cities and its influence on COVID-19 transmission in China.Cities (London, England) · 2021Article
- Identification of influencers in online social networks: measuring influence considering multidimensional factors exploration.Heliyon · 2021Article
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Authors and funding
5 authors.
Funding
Abstract
Identifying the vital nodes in networks is of great significance for understanding the function of nodes and the nature of networks. Many centrality indices, such as betweenness centrality (BC), eccentricity centrality (EC), closeness centricity (CC), structural holes (SH), degree centrality (DC), PageRank (PR) and eigenvector centrality (VC), have been proposed to identify the influential nodes of networks. However, some of these indices have limited application scopes. EC and CC are generally only applicable to undirected networks, while PR and VC are generally used for directed networks. To design a more applicable centrality measure, two vital node identification algorithms based on node adjacency information entropy are proposed in this paper. To validate the effectiveness and applicability of the proposed algorithms, contrast experiments are conducted with the BC, EC, CC, SH, DC, PR and VC indices in different kinds of networks. The results show that the index in this paper has a high correlation with the local metric DC, and it also has a certain correlation with the PR and VC indices for directed networks. In addition, the experimental results indicate that our algorithms can effectively identify the vital nodes in different networks.
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