Random Network Null Models
Random Network Null Models is a methodological construct that specifies a class of synthetic networks generated by randomizing certain properties of an observed network while preserving others, serving to distinguish non-random structural features such as modularity or network motifs from those that could arise by chance under a given null hypothesis.
45
Publications
3.4K
Citations
116
Authors
92
Institutions
Publications per year
2017–2026
12
45
The entropy of randomized network ensembles
Europhysics Letters (EPL) · 2007 · 235 citations · Full text
Randomizing bipartite networks: the case of the World Trade Web
Scientific Reports · 2015 · 165 citations · Full text
Complex networks: two ways to be robust?
Carlos J. Melián, Jordi Bascompte · Ecology Letters · 2002 · 129 citations · Full text
Life Sciences, Biology, Ecology +14
1–5 of 45
116
4
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 116
92

University of Calgary
Calgary, Canada
4 h-index
10 publications
245 citations

Santa Fe Institute
Santa Fe, United States
4 h-index
4 publications
232 citations
Queen Mary University of London
London, United Kingdom
3 h-index
3 publications
186 citations
Universitat de Barcelona
Barcelona, Spain
3 h-index
7 publications
994 citations
University of Colorado Boulder
Boulder, United States
2 h-index
2 publications
98 citations

Fogarty International Center
Bethesda, United States
2 h-index
2 publications
121 citations
Georgetown University
Washington, United States
2 h-index
6 publications
294 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
3 publications
1.6K citations
1–8 of 92
PRE · 9 publications · 1.6K citations
9
h-index
3 publications · 55 citations
3
h-index
PRL · 3 publications · 118 citations
3
h-index
2 publications · 193 citations
2
h-index
2 publications · 70 citations
2
h-index
1–5