Introduction to the special issue on COMPLEX NETWORKS 2019.
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- Network Science, 2021, v. 9, n. S1, p. S1, doi. 10.1017/nws.2021.8
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- Article
Works matching IS 20501242 AND DT 2021 AND VI 9 AND IP S1
Results: 8
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Logic and learning in network cascades.
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- Network Science, 2021, v. 9, n. S1, p. S157, doi. 10.1017/nws.2021.3
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- Article
3
Sampling methods and estimation of triangle count distributions in large networks.
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- Network Science, 2021, v. 9, n. S1, p. S134, doi. 10.1017/nws.2021.2
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- Article
4
A simple differential geometry for complex networks.
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- Network Science, 2021, v. 9, n. S1, p. S106, doi. 10.1017/nws.2020.42
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- Article
5
Isolation concepts applied to temporal clique enumeration.
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- Network Science, 2021, v. 9, n. S1, p. S83, doi. 10.1017/nws.2020.38
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- Article
6
On the impact of network size and average degree on the robustness of centrality measures.
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- Network Science, 2021, v. 9, n. S1, p. S61, doi. 10.1017/nws.2020.37
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- Article
7
Learning to count: A deep learning framework for graphlet count estimation.
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- Network Science, 2021, v. 9, n. S1, p. S23, doi. 10.1017/nws.2020.35
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- Article
8
Gradient and Harnack-type estimates for PageRank.
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- Network Science, 2021, v. 9, n. S1, p. S2, doi. 10.1017/nws.2020.34
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- Article