Generalization of Relative Change in a Centrality Measure to Identify Vital Nodes in Complex Networks-Reference-Cited by-同舟云学术

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Generalization of Relative Change in a Centrality Measure to Identify Vital Nodes in Complex Networks

Published:2023 Issue: Volume:11 Page:808-824
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hajarathaiah Koduru¹,Enduri Murali Krishna¹,Dhuli Sateeshkrishna²,Anamalamudi Satish¹,Cenkeramaddi Linga Reddy³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, SRM University, Andhra Pradesh, Amaravati, India

2. Department of Electronics and Communications Engineering, SRM University, Andhra Pradesh, Guntur, India

3. Department of Information and Communication Technology, University of Agder (UiA), Grimstad, Norway

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/09999215.pdf?arnumber=9999215

Reference58 articles.

1. Identifying influential nodes based on network representation learning in complex networks

2. Centrality and network flow

3. Identify influential spreaders in complex networks, the role of neighborhood

4. An Analysis of Centrality Measures for Complex and Social Networks

5. Identification of top-K nodes in large networks using Katz centrality

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2. Node Significance Analysis in Complex Networks Using Machine Learning and Centrality Measures;IEEE Access;2024

3. Identifying and Ranking of Best Influential Spreaders With Extended Clustering Coefficient Local Global Centrality Method;IEEE Access;2024

4. Convex Isolating Clustering Centrality to Discover the Influential Nodes in Large Scale Networks;IEEE Access;2024

5. Efficient Data Transfer by Evaluating Closeness Centrality for Dynamic Social Complex Network-Inspired Routing;Applied Sciences;2023-09-27

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