ArticlePloS one2013
A bio-inspired methodology of identifying influential nodes in complex networks.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer.Scientific reports · 2021Article
- Research on the Node Importance of a Weighted Network Based on theEntropy (Basel, Switzerland) · 2020Article
- Heatmap centrality: A new measure to identify super-spreader nodes in scale-free networks.PloS one · 2020Article
- A Physarum Centrality Measure of the Human Brain Network.Scientific reports · 2019Article
- Theme trends and knowledge structure on choroidal neovascularization: a quantitative and co-word analysis.BMC ophthalmology · 2018Article
- Article
- A bio-inspired method for the constrained shortest path problem.TheScientificWorldJournal · 2014Article
- Identification of important nodes in directed biological networks: a network motif approach.PloS one · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
How to identify influential nodes is a key issue in complex networks. The degree centrality is simple, but is incapable to reflect the global characteristics of networks. Betweenness centrality and closeness centrality do not consider the location of nodes in the networks, and semi-local centrality, leaderRank and pageRank approaches can be only applied in unweighted networks. In this paper, a bio-inspired centrality measure model is proposed, which combines the Physarum centrality with the K-shell index obtained by K-shell decomposition analysis, to identify influential nodes in weighted networks. Then, we use the Susceptible-Infected (SI) model to evaluate the performance. Examples and applications are given to demonstrate the adaptivity and efficiency of the proposed method. In addition, the results are compared with existing methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.