Articles

  • 2017

    Ranking of World Universities from 2017 Wikipedia network
    C. Coquidé, J. Lages, D. Shepelyansky
    Proc. Conf. Complex Networks, Lyon (2017)
    [pdf]

  • 2018

    Inferring hidden causal relations between pathway members using reduced Google matrix of directed biological networks
    J. Lages, D. Shepelyansky, A. Zinovyev
    PLoS ONE 13(1): e0190812 (2018)
    [pdf] [PLOS ONE] [Datasets and supporting informations] [bioRxiv]
    Schrödinger-Koopman quasienergy states of quantum systems driven by a classical flow
    David Viennot, Lucile Aubourg
    J. Phys. A: Math. Theor. 51, 335201 (2018)
    [pdf] [arXiv]
    World influence and interactions of universities from Wikipedia networks
    C. Coquidé, J. Lages, D. L. Shepelyansky
    The European Physical Journal B (2019) 92: 3
    [pdf] [Datasets and supporting informations] [arXiv]
    World Influence of Infectious Diseases from Wikipedia Network Analysis
    G. Rollin, J. Lages, D. L. Shepelyansky
    IEEE Access, vol. 7, pp. 26073-26087, 2019
    [pdf] [IEEE Access] [Datasets and supporting informations] [bioRxiv]

  • 2019

    Wikipedia network analysis of cancer interactions and world influence
    G. Rollin, J. Lages, D. L. Shepelyansky
    PLOS ONE 14(9): e0222508 (2019)
    [pdf] [PLOS ONE] [Datasets and supporting informations] [bioRxiv]
    Thermoelectricity of cold ions in optical lattices
    O. V. Zhirov, J. Lages, D. L. Shepelyansky
    The European Physical Journal D (2019) 73: 149
    [pdf] [arXiv]
    Influence of petroleum and gas trade on EU economies from the reduced Google matrix analysis of UN COMTRADE data
    C. Coquidé, L. Ermann, J. Lages, D. L. Shepelyansky
    Eur. Phys. J. B (2019) 92: 171
    [pdf] [arXiv]
    Interactions of pharmaceutical companies with world countries, cancers and rare diseases from Wikipedia network analysis
    G. Rollin, J. Lages, T. S. Serebriyskaya, D. L. Shepelyansky
    PLOS ONE 14(12): e0225500
    [pdf] [PLOS ONE] [Datasets and supporting informations] [bioRxiv]
    Interdependence of sectors of economic activities for world countries from the reduced Google matrix analysis of WTO data
    C. Coquidé, J. Lages, D. L. Shepelyansky
    Entropy 2020, 22, 1407
    [pdf] [Open access] [arXiv]

  • 2020

    Contagion in Bitcoin networks
    C. Coquidé, J. Lages, D. L. Shepelyansky
    in Abramowicz W., Corchuelo R. (eds) Business Information Systems Workshops. BIS 2019. Lecture Notes in Business Information Processing, vol 373. Springer, Cham (2019)
    [pdf] [arXiv]
    Massive evaluation and analysis of Poincaré recurrences on grids of initial data: A tool to map chaotic diffusion
    I. I. Shevchenko, G. Rollin, A. V. Melnikov, J. Lages
    Computer Physics Communications 246 (2020) 106868
    [pdf] [code]
    Thermoelectricity Modeling with Cold Dipole Atoms in Aubry Phase of Optical Lattice
    O. V. Zhirov, J. Lages, D. L. Shepelyansky
    Appl. Sci., 10(6), 2090 (2020)
    [pdf] [open access] [arXiv]
    Properties of phonon modes of ion trap quantum computer in the Aubry phase
    J. Loye, J. Lages, D. L. Shepelyansky
    Phys. Rev. A 101, 032349 (2020)
    [pdf] [arXiv]
    Crisis contagion in the world trade network
    C. Coquidé, J. Lages, D. L. Shepelyansky
    Applied Network Science 5:67 (2020)
    [pdf] [Open access] [Datasets and supporting informations] [arXiv]
    Novel version of PageRank, CheiRank and 2DRank for Wikipedia in Multilingual Network using Social Impact
    C. Coquidé, W. Lewoniewski
    In: Abramowicz W., Klein G. (eds) Business Information Systems. BIS 2020. Lecture Notes in Business Information Processing, vol 389. Springer, Cham.
    [arXiv]

  • 2021

    Statistical properties of the MetaCore network of protein-protein interactions
    E. Kotelnikova, K.M. Frahm, J. Lages, D.L. Shepelyansky
    [bioRxiv]