Identifying Influential Nodes Based on Evidence Theory in Complex Network

Influential node identification is an important and hot topic in the field of complex network science. Classical algorithms for identifying influential nodes are typically based on a single attribute of nodes or the simple fusion of a few attributes. However, these methods perform poorly in real net...

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Veröffentlicht in:	Entropy (Basel, Switzerland) Jg. 27; H. 4; S. 406
Hauptverfasser:	Tan, Fu, Chen, Xiaolong, Chen, Rui, Wang, Ruijie, Huang, Chi, Cai, Shimin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 10.04.2025 MDPI
Schlagworte:	Accuracy Algorithms Analysis complex network Complexity COVID-19 vaccines Decision-making Dempster-Shafer Method Dempster–Shafer evidence theory Disease transmission Disintegration Effectiveness Financial institutions Graphs influential node identification Information sources Methods multi-attribute features Networks Neural networks Nodes Pandemics Propagation Reliability Social networks Time series Uncertainty visibility graph algorithm United Kingdom China influential node identification complex network visibility graph algorithm multi-attribute features Dempster–Shafer evidence theory
ISSN:	1099-4300, 1099-4300
Online-Zugang:	Volltext
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