Convex Isolating Clustering Centrality to Discover the Influential Nodes in Large Scale Networks-Reference-Cited by-同舟云学术

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Convex Isolating Clustering Centrality to Discover the Influential Nodes in Large Scale Networks

Published:2024 Issue: Volume:12 Page:48404-48419
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mohammad Buran Basha¹^ORCID,Dhuli Sateeshkrishna¹^ORCID,Enduri Murali Krishna²^ORCID,Cenkeramaddi Linga Reddy³^ORCID

Affiliation:

1. Department of Electronics and Communications Engineering, SRM University AP, Amaravathi, India

2. Department of Computer Science and Engineering, Algorithms and Complexity Theory Laboratory, SRM University AP, Guntur, India

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

Funder

Norges Forskningsr?d

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10488414.pdf?arnumber=10488414

Reference68 articles.

1. Complex networks: Structure and dynamics

2. Exploring complex networks

3. The Structure and Function of Complex Networks

4. The Structure of Complex Networks

5. Identifying influential nodes in complex networks with community structure

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ultra-wide measurement range D-shaped photonic crystal fiber sensor based on surface plasmon resonance;The European Physical Journal D;2024-08

2. A Novel Convex Combination-Based Mixed Centrality Measure for Identification of Influential Nodes in Complex Networks;IEEE Access;2024

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