Network Growth Models
Network Growth Models is a theoretical framework in network science that specifies the mechanisms by which nodes and edges are incrementally added to a network over time, distinguished from other network models by its explicit emphasis on growth dynamics and preferential attachment processes that generate scale-free topologies.
709
Publications
85.4K
Citations
1.6K
Authors
731
Institutions
Publications per year
2017–2026
113
709
The Structure and Function of Complex Networks
Michael Newman · SIAM Review · 2003 · 18.7K citations · Full text
S. N. Dorogovt︠s︡ev, J. F. F. Mendes · Advances In Physics · 2002 · 3.2K citations · Full text
Jure Leskovec, Jon Kleinberg, Christos Faloutsos · ACM Transactions on Knowledge Discovery from Data · 2007 · 2.5K citations
Jure Leskovec, Jon Kleinberg, Christos Faloutsos · 2005 · 2.3K citations
1–5 of 709
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731

Santa Fe Institute
Santa Fe, United States
20 h-index
32 publications
24.9K citations
Boston University
Boston, United States
20 h-index
56 publications
9.4K citations
Physico-Technical Institute
Izhevsk, Russia
13 h-index
19 publications
8K citations

Centre National de la Recherche Scientifique
Paris, France
12 h-index
23 publications
4K citations

Sapienza University of Rome
Rome, Italy
11 h-index
22 publications
3.2K citations

The University of Sydney
Sydney, Australia
11 h-index
22 publications
1.4K citations

Cornell University
Ithaca, United States
10 h-index
18 publications
8.6K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
20 publications
11.2K citations
1–8 of 731
PRE · 82 publications · 4.9K citations
35
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PRL · 23 publications · 8.4K citations
23
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PRE · 27 publications · 6.7K citations
21
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26 publications · 2.2K citations
18
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22 publications · 994 citations
16
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