Scale-free Network Modeling
Scale-Free Network Modeling is a network modeling approach that belongs to the class of topological models used in gene coexpression network analysis, distinguished by its specific assumption that the distribution of node connectivity follows a power-law, reflecting the biological reality that a small number of genes (hubs) exhibit high connectivity while most genes have few connections.
591
Publications
39.6K
Citations
1.4K
Authors
638
Institutions
Publications per year
2017–2026
128
Parents
591
Scale-Free Networks: A Decade and Beyond
Albert-Ĺaszló Barabási · Science · 2009 · 2.1K citations
Nature Communications · 2019 · 863 citations · Full text
1–5 of 591
1.4K
15
h-index
University of Electronic Science and Technology of China, China
14 publications · 1.1K citations
13
h-index
11
h-index
10
h-index
8
h-index
1–5 of 1.4K
638
University of Science and Technology of China
Hefei, China
17 h-index
91 publications
7.2K citations
Boston University
Boston, United States
12 h-index
37 publications
2.1K citations

Bar-Ilan University
Ramat Gan, Israel
11 h-index
17 publications
813 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
11 h-index
19 publications
2.4K citations
Fudan University
Shanghai, China
10 h-index
29 publications
712 citations
Dalian University of Technology
Dalian, China
10 h-index
17 publications
984 citations
Seoul National University
Seoul, South Korea
10 h-index
29 publications
3.2K citations

Beihang University
Beijing, China
9 h-index
25 publications
713 citations
1–8 of 638
PRE · 74 publications · 5.2K citations
36
h-index
51 publications · 5.4K citations
26
h-index
PRL · 17 publications · 2.8K citations
17
h-index
20 publications · 1.3K citations
17
h-index
17 publications · 659 citations
16
h-index
1–5