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Node Significance Analysis in Complex Networks Using Machine Learning and Centrality Measures
1 of 51 checkable references need attention · checked 2026-07-25
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
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References needing attention
marked retracted by the publisher10.1007/s11277-021-08577-y
RETRACTED ARTICLE: An Intelligent Centrality Measures for Influential Node Detection in COVID-19 Environment
The 50 checked references that resolve
resolves10.1080/0022250X.1972.9989806
Factoring and weighting approaches to status scores and clique identification
resolves10.1007/s11071-020-05867-1
Epidemic dynamics of influenza-like diseases spreading in complex networks
resolves10.1016/j.knosys.2014.03.015
Binary PSO with mutation operator for feature selection using decision tree applied to spam detection
resolves10.3390/e22020242
Influential Nodes Identification in Complex Networks via Information Entropy
resolves10.3390/e24050704
Computing Influential Nodes Using the Nearest Neighborhood Trust Value and PageRank in Complex Networks
resolves10.1007/s13369-023-07619-w
Algorithms for Finding Influential People with Mixed Centrality in Social Networks
resolves10.1016/j.chaos.2018.03.014
A new centrality measure based on the negative and positive effects of clustering coefficient for identifying influential spreaders in complex networks
resolves10.1016/j.physa.2019.01.136
A novel measure of identifying influential nodes in complex networks
resolves10.1016/j.physa.2021.126708
Efficient algorithm for finding the influential nodes using local relative change of average shortest path
resolves10.1109/ACCESS.2020.2984286
A Machine Learning Based Framework for Identifying Influential Nodes in Complex Networks
resolves10.1186/s12911-019-1004-8
Comparing different supervised machine learning algorithms for disease prediction
resolves10.2139/ssrn.4052361
Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach
resolves10.1109/ICDMW.2015.88
Identifying Key-Players in Online Activist Groups on the Facebook Social Network
resolves10.1109/ACCESS.2022.3232288
Generalization of Relative Change in a Centrality Measure to Identify Vital Nodes in Complex Networks
resolves10.1016/j.ins.2020.03.060
Efficient algorithms based on centrality measures for identification of top-K influential users in social networks
resolves10.1103/PhysRevE.75.027105
Generalizations of the clustering coefficient to weighted complex networks
resolves10.14445/22312803/IJCTT-V10P119
A Comparative study Between Fuzzy Clustering Algorithm and Hard Clustering Algorithm
resolves10.1016/j.jtrangeo.2010.08.012
Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach
resolves10.1080/13662716.2017.1421913
The importance of collaborative networks in Canadian scientific research
resolves10.1186/s40537-017-0076-5
Identification of top-K nodes in large networks using Katz centrality
resolves10.1016/j.physa.2019.121891
An improvement method for degree and its extending centralities in directed networks
resolves10.1609/aaai.v29i1.9277
The Network Data Repository with Interactive Graph Analytics and Visualization
The 4 references without a DOI — listed, not checked
no DOI — not checkedDegree centrality in a weighted network
no DOI — not checkedAn importance measure of actors (set) within a network
no DOI — not checkedMachine learning benchmarks and random forest regression
no DOI — not checkedMachine Learning With Centrality
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