Graph-based Connectivity Models
Graph-Based Connectivity Models is a formal framework that employs graph theory to represent and analyze the structural and functional relationships within a network by modeling entities as vertices and their interconnections as edges, distinguished by its emphasis on topological properties and connectivity metrics derived from graph-theoretic algorithms.
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2017–2026
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AS Relationships: Inference and Validation
Xenofontas Dimitropoulos, Dmitri Krioukov, Marina Fomenkov et al. · ArXiv.org · 2006 · 268 citations · Full text
Connectome imaging for mapping human brain pathways
Yonggang Shi, Arthur W. Toga · Molecular Psychiatry · 2017 · 140 citations · Full text
Medicine, Neurobiology, Neuroscience +17
Structure connectivity and substructure connectivity of k-ary n-cube networks
Yali Lv, Jianxi Fan, D. Frank Hsu et al. · Information Sciences · 2017 · 88 citations
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Stanford University
Stanford, United States
2 h-index
4 publications
194 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
99 citations

National Institute of Technology Calicut
Kozhikode, India
2 h-index
3 publications
58 citations
Fudan University
Shanghai, China
1 h-index
3 publications
42 citations
Istituti di Ricovero e Cura a Carattere Scientifico
Rome, Italy
1 h-index
3 publications
72 citations

Vidyasagar University
Medinīpur, India
1 h-index
2 publications
26 citations
Universitat de Barcelona
Barcelona, Spain
1 h-index
2 publications
38 citations

Northeastern University
Shenyang, China
1 h-index
6 publications
120 citations
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2 publications · 57 citations
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2 publications · 26 citations
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Repository · 2 publications · 97 citations
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2 publications · 87 citations
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Repository · 2 publications · 279 citations
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