Renormalization Of Networks
Renormalization of Networks is a theoretical framework in network science that systematically coarse-grains the structure of complex networks by identifying self-similar patterns across scales, enabling the analysis of scale-invariant properties in hierarchical and scale-free topologies.
38
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2.1K
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86
Authors
69
Institutions
Publications per year
2017–2026
10
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38
Fractal and transfractal recursive scale-free nets
New Journal of Physics · 2007 · 212 citations · Full text
Renormalization of tensor-network states
Hui‐Hai Zhao, Z. Y. Xie, Qiaoni Chen et al. · Physical Review B · 2010 · 188 citations · Full text
Renormalization of polymer networks and stars
Lothar Schäfer, Christian von Ferber, Ulrike Lehr et al. · Nuclear Physics B · 1992 · 116 citations
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69

Centre National de la Recherche Scientifique
Paris, France
5 h-index
7 publications
208 citations

University of Calgary
Calgary, Canada
3 h-index
11 publications
134 citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
2 h-index
3 publications
146 citations

Bar-Ilan University
Ramat Gan, Israel
2 h-index
2 publications
426 citations
Universitat de Barcelona
Barcelona, Spain
2 h-index
4 publications
684 citations

Universidade Federal do Ceará
Fortaleza, Brazil
2 h-index
2 publications
54 citations

University of Göttingen
Göttingen, Germany
2 h-index
3 publications
125 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
43 citations
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PRE · 4 publications · 106 citations
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Repository · 4 publications · 84 citations
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PRL · 3 publications · 431 citations
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PRB · 3 publications · 140 citations
3
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2 publications · 86 citations
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