Complex Networks & Their Applications X - Studies in Computational Intelligence
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Published By Springer International Publishing

9783030934125, 9783030934132
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Finding Influential Nodes in Complex Networks Using Nearest Neighborhood Trust Value

2022 ◽  
pp. 253-264
Author(s):  
Koduru Hajarathaiah ◽  
Murali Krishna Enduri ◽  
Satish Anamalamudi
Keyword(s):  
Complex Networks ◽  
Trust Value ◽  
Influential Nodes ◽  
Nearest Neighborhood

Homophily - a Driving Factor for Hate Speech on Twitter

2022 ◽  
pp. 78-88
Author(s):  
Seema Nagar ◽  
Sameer Gupta ◽  
C. S. Bahushruth ◽  
Ferdous Ahmed Barbhuiya ◽  
Kuntal Dey
Keyword(s):  
Hate Speech ◽  
Driving Factor

Online Updates of Knowledge Graph Embedding

2022 ◽  
pp. 523-535
Author(s):  
Luo Fei ◽  
Tianxing Wu ◽  
Arijit Khan
Keyword(s):  
Graph Embedding ◽  
Knowledge Graph

Supervised Link Weight Prediction Using Node Metadata

2022 ◽  
pp. 496-507
Author(s):  
Larissa Mori ◽  
Mario Ventresca ◽  
Toyya A. Pujol
Keyword(s):  
Link Weight ◽  
Weight Prediction

scholarly journals Hybrid Graph Embedding Techniques in Estimated Time of Arrival Task

2022 ◽  
pp. 575-586
Author(s):  
Vadim Porvatov ◽  
Natalia Semenova ◽  
Andrey Chertok
Keyword(s):  
Graph Embedding ◽  
Time Of Arrival

Cascading Failures and the Robustness of Cooperation in a Unified Scale-Free Network Model

2022 ◽  
pp. 365-376
Author(s):  
Mingxuan He ◽  
Matthew Gao ◽  
Yang Gao ◽  
Fernanda M. Eliott
Keyword(s):  
Network Model ◽  
Cascading Failures ◽  
Scale Free Network ◽  
Scale Free ◽  
Free Network
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