Network Weight
Network Weight is the minimum cardinality of a network—a family of subsets of a topological space such that every open set can be expressed as a union of elements from the family—over all possible networks for the space, serving as a cardinal invariant that measures the topological complexity analogous to but more general than weight.
214
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300
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2017–2026
87
214
M. E. J. Newman · Physical Review E · 2004 · 2.5K citations · Full text
What Size Net Gives Valid Generalization?
Eric B. Baum, David Haussler · Neural Computation · 1989 · 1.6K citations
Interpreting neural-network connection weights
G. David Garson · AI Expert archive · 1991 · 1.5K citations
Bipartite network projection and personal recommendation
Tao Zhou, Jie Ren, Matúš Medo et al. · Physical Review E · 2007 · 1.1K citations · Full text
Generalizations of the clustering coefficient to weighted complex networks
Jari Saramäki, Mikko Kivelä, Jukka‐Pekka Onnela et al. · Physical Review E · 2007 · 751 citations · Full text
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University of Science and Technology of China
Hefei, China
7 h-index
17 publications
2.8K citations
Indiana University Bloomington
Bloomington, United States
6 h-index
13 publications
1.2K citations
Boston University
Boston, United States
6 h-index
15 publications
1.6K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
11 publications
383 citations

Beijing Normal University
Beijing, China
5 h-index
20 publications
879 citations

Bar-Ilan University
Ramat Gan, Israel
4 h-index
6 publications
670 citations

Shanghai University
Shanghai, China
4 h-index
11 publications
281 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
6 publications
596 citations
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PRE · 18 publications · 5.3K citations
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Repository · 9 publications · 158 citations
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PRL · 5 publications · 1.3K citations
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