Centrality-based Features
Centrality-Based Features is a graph feature engineering method that quantifies the structural importance of nodes or edges within a network by leveraging centrality measures such as degree, betweenness, closeness, or eigenvector centrality to differentiate the relative influence of entities in the graph topology.
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2.2K
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167
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2017–2026
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Causal Status as a Determinant of Feature Centrality
Woo-kyoung Ahn, Nancy S. Kim, Mary E. Lassaline et al. · Cognitive Psychology · 2000 · 258 citations
User position measures in social networks
Katarzyna Musiał, Przemysław Kazienko, Piotr Bródka · 2009 · 76 citations
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University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
290 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
55 citations

Indian Institute of Technology Madras
Chennai, India
2 h-index
4 publications
149 citations

University of Strathclyde
Glasgow, United Kingdom
2 h-index
2 publications
53 citations
Malaviya National Institute of Technology Jaipur
Jaipur, India
1 h-index
2 publications
28 citations
Lorestan University
Khorramabad, Iran
1 h-index
3 publications
117 citations

Xi'an Jiaotong University
Xi'an, China
1 h-index
2 publications
64 citations

Tarbiat Modares University
Tehran, Iran
1 h-index
1 publications
210 citations
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3 publications · 131 citations
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Conference · 2 publications · 63 citations
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2 publications · 60 citations
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1 publications · 32 citations
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