Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Daniel Faria Bernardes

Biographic Data

ID4163798
NAMEDaniel Faria Bernardes
GIVEN NAMESDaniel Faria
FAMILY NAMEBernardes
SIGNATUREBERNARDES D F
AFFILIATIONSCentre National de la Recherche Scientifique
ORCID0000-0003-3506-2984
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2014
H-INDEX1
  • Data-driven traffic and diffusion modeling in peer-to-peer networks

    Open Access•Romain Hollanders, Daniel Faria Bernardes et al.•ARTICLE•Network Science•2014•References: 3

    Peer-to-peer systems have driven a lot of attention in the past decade as they have become a major source of Internet traffic. The amount of data flowing through the peer-to-peer network is huge and hence challenging both to comprehend and to control. In this work, we take advantage of a new and rich dataset recording the peer-to-peer activity at a remarkable scale to address these difficult problems. After extracting the relevant and measurable …

  • Inadequacy of SIR model to reproduce key properties of real-world spreading cascades

    Open Access•Daniel Faria Bernardes, Matthieu Latapy et al.•ARTICLE•Social Network Analysis and Mining•2013•Cited by: 1•References: 23

  • Inadequacy of SIR model to reproduce key properties of real-world spreading cascades

    Open Access•Daniel Faria Bernardes, Matthieu Latapy et al.•ARTICLE•Social Network Analysis and Mining•2013•Cited by: 1•References: 23

  • Inadequacy of SIR model to reproduce key properties of real-world spreading cascades

    Open Access•Daniel Faria Bernardes, Matthieu Latapy et al.•ARTICLE•Social Network Analysis and Mining•2013•Cited by: 1•References: 23

  • Data-driven traffic and diffusion modeling in peer-to-peer networks

    Open Access•Romain Hollanders, Daniel Faria Bernardes et al.•ARTICLE•Network Science•2014•References: 3

    Peer-to-peer systems have driven a lot of attention in the past decade as they have become a major source of Internet traffic. The amount of data flowing through the peer-to-peer network is huge and hence challenging both to comprehend and to control. In this work, we take advantage of a new and rich dataset recording the peer-to-peer activity at a remarkable scale to address these difficult problems. After extracting the relevant and measurable …

Caching and Content Delivery (2 works) · Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Distributed computing (2 works) · Peer-to-Peer Network Technologies (2 works) · Artificial Intelligence (1 work) · Computer security (1 work) · Data mining (1 work) · Data science (1 work) · Geography (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae