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Results: 18

1.

Damage detection via shortest-path network sampling.

Ciulla F, Perra N, Baronchelli A, Vespignani A.

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 May;89(5):052816. Epub 2014 May 30.

PMID:
25353853
2.

The role of endogenous and exogenous mechanisms in the formation of R&D networks.

Tomasello MV, Perra N, Tessone CJ, Karsai M, Schweitzer F.

Sci Rep. 2014 Jul 14;4:5679. doi: 10.1038/srep05679.

3.

Controlling contagion processes in activity driven networks.

Liu S, Perra N, Karsai M, Vespignani A.

Phys Rev Lett. 2014 Mar 21;112(11):118702. Epub 2014 Mar 19.

PMID:
24702426
4.

Time varying networks and the weakness of strong ties.

Karsai M, Perra N, Vespignani A.

Sci Rep. 2014 Feb 10;4:4001. doi: 10.1038/srep04001.

5.

Quantifying the effect of temporal resolution on time-varying networks.

Ribeiro B, Perra N, Baronchelli A.

Sci Rep. 2013 Oct 21;3:3006. doi: 10.1038/srep03006.

6.

The Twitter of Babel: mapping world languages through microblogging platforms.

Mocanu D, Baronchelli A, Perra N, Gonçalves B, Zhang Q, Vespignani A.

PLoS One. 2013 Apr 18;8(4):e61981. doi: 10.1371/journal.pone.0061981. Print 2013.

7.

Characterizing scientific production and consumption in physics.

Zhang Q, Perra N, Gonçalves B, Ciulla F, Vespignani A.

Sci Rep. 2013;3:1640. doi: 10.1038/srep01640.

8.

Random walks and search in time-varying networks.

Perra N, Baronchelli A, Mocanu D, Gonçalves B, Pastor-Satorras R, Vespignani A.

Phys Rev Lett. 2012 Dec 7;109(23):238701. Epub 2012 Dec 4.

PMID:
23368274
9.

Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm.

Tizzoni M, Bajardi P, Poletto C, Ramasco JJ, Balcan D, Gonçalves B, Perra N, Colizza V, Vespignani A.

BMC Med. 2012 Dec 13;10:165. doi: 10.1186/1741-7015-10-165.

10.

Activity driven modeling of time varying networks.

Perra N, Gonçalves B, Pastor-Satorras R, Vespignani A.

Sci Rep. 2012;2:469. doi: 10.1038/srep00469. Epub 2012 Jun 25.

11.

Modeling human mobility responses to the large-scale spreading of infectious diseases.

Meloni S, Perra N, Arenas A, Gómez S, Moreno Y, Vespignani A.

Sci Rep. 2011;1:62. doi: 10.1038/srep00062. Epub 2011 Aug 12.

12.

Towards a characterization of behavior-disease models.

Perra N, Balcan D, Gonçalves B, Vespignani A.

PLoS One. 2011;6(8):e23084. doi: 10.1371/journal.pone.0023084. Epub 2011 Aug 3.

13.

Modeling users' activity on twitter networks: validation of Dunbar's number.

Gonçalves B, Perra N, Vespignani A.

PLoS One. 2011;6(8):e22656. doi: 10.1371/journal.pone.0022656. Epub 2011 Aug 3.

14.

Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic.

Balcan D, Colizza V, Singer AC, Chouaid C, Hu H, Gonçalves B, Bajardi P, Poletto C, Ramasco JJ, Perra N, Tizzoni M, Paolotti D, Van den Broeck W, Valleron A, Vespignani A.

PLoS Curr. 2009 Dec 7;1:RRN1133.

15.

Estimate of Novel Influenza A/H1N1 cases in Mexico at the early stage of the pandemic with a spatially structured epidemic model.

Colizza V, Vespignani A, Perra N, Poletto C, Gonçalves B, Hu H, Balcan D, Paolotti D, Van den Broeck W, Tizzoni M, Bajardi P, Ramasco JJ.

PLoS Curr. 2009 Nov 11;1:RRN1129.

16.

Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility.

Balcan D, Hu H, Goncalves B, Bajardi P, Poletto C, Ramasco JJ, Paolotti D, Perra N, Tizzoni M, Van den Broeck W, Colizza V, Vespignani A.

BMC Med. 2009 Sep 10;7:45. doi: 10.1186/1741-7015-7-45.

17.

Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere.

Bajardi P, Poletto C, Balcan D, Hu H, Goncalves B, Ramasco J, Paolotti D, Perra N, Tizzoni M, Van den Broeck W, Colizza V, Vespignani A.

Emerg Health Threats J. 2009;2:e11. doi: 10.3134/ehtj.09.011. Epub 2009 Nov 2.

18.

Spectral centrality measures in complex networks.

Perra N, Fortunato S.

Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Sep;78(3 Pt 2):036107. Epub 2008 Sep 5.

PMID:
18851105
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