Sparse matrix computations for dynamic network centrality

Author:

Arrigo Francesca,Higham Desmond J.

Funder

Engineering and Physical Sciences Research Council

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computer Networks and Communications,Multidisciplinary

Reference26 articles.

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2. Achlioptas, D, Karnin ZS, Liberty E (2013) Near-optimal entrywise sampling for data matrices. In: Burges CJC, Bottou L, Welling M, Ghahramani Z, Weinberger KQ (eds)Advances in Neural Information Processing Systems, 1565–1573.. Curran Associates, Inc., Red Hook, NY,.

3. Arora, S, Hazan E, Kale S (2006) A fast random sampling algorithm for sparsifying matrices In: Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 272–279.. Springer-Verlag, Berlin.

4. Arrigo, F, Higham DJ (2017) Preserving Sparsity in Dynamic Network Computations. In: Cherifi H, Gaito S, Sala A (eds), 147–157.. Springer, Cham. doi: 10.1007/978-3-319-50901-3_2 .

5. Chen, I, Benzi M, Chang HH, Hertzberg VS (2016) Dynamic communicability and epidemic spread: a case of study on the empirical dynamic contact network. J Complex Netw. doi: 10.1093/comnet/cnw17 .

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