InPhyT :julia: :python:

Several theoretical frameworks have been proposed to formally represent #MultilayerNetworks.

Here are some of the main theoretical references:

1. De Domenico et al. (2013) https://doi.org/10.1103/PhysRevX.3.041022;
2. Kivelä et al. (2014) https://doi.org/10.1093/comnet/cnu016;
3. Aleta and Moreno (2019) https://doi.org/10.1146/annurev-conmatphys-031218-013259;
4. Bianconi (2018) https://doi.org/10.1093/oso/9780198753919.001.0001;
5. Cozzo et al. (2018) https://doi.org/10.1007/978-3-319-92255-3;
6. Artime et al. (2022) https://doi.org/10.1017/9781009085809;
7. De Domenico (2022) https://doi.org/10.1007/978-3-030-75718-2.

📢 We are very excited to announce the 1.0.0 release of MultilayerGraphs.jl 🎉

- Repo: https://github.com/JuliaGraphs/MultilayerGraphs.jl

- Docs: https://juliagraphs.org/MultilayerGraphs.jl

- Authors: @ClaudioMoroni, @PietroMonticone

#JuliaLang #JuliaPackages #MultilayerGraphs #Graphs #Networks #NetworkScience #FOSS #DiscreteMathematics

@julialang
@networkscience
@epiverse

📢 New weekly release of the Italian COVID-19 integrated surveillance data containing daily incidences of confirmed, symptomatic, hospitalised and deceased cases by date of key event disaggregated by region, sex and age! 📈



• Authors: @PietroMonticone, @ClaudioMoroni



• #GitHub Repository: https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data



#OpenData #EpiMastodon #JuliaLang #Epidemiology #OpenScience #Surveillance #COVID

@epiverse @julialang

📢 New weekly release of the Italian #COVID19 integrated surveillance #data containing daily incidences of confirmed, symptomatic, hospitalised and deceased cases by date of key event disaggregated by region, sex and age! 📈



• Authors: @PietroMonticone, @ClaudioMoroni



• #GitHub Repository: https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data :julia: 


#OpenData #EpiMastodon #JuliaLang #Epidemiology #OpenScience

@epiverse @julialang

📢 New weekly release of the Italian #COVID19 integrated surveillance #data containing daily incidences of confirmed, symptomatic, hospitalised and deceased cases by date of key event disaggregated by region, sex and age! 📈



• Authors: @PietroMonticone, @ClaudioMoroni 



• #GitHub Repository: https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data

#OpenData #EpiMastodon #JuliaLang #Epidemiology #OpenScience #Surveillance

@epiverse @julialang

📢 New weekly release of the Italian #COVID19 integrated surveillance #data containing daily incidences of confirmed, symptomatic, hospitalised and deceased cases by date of key event disaggregated by region, sex and age!

• Authors: @PietroMonticone, @ClaudioMoroni

• #GitHub Repository: https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data

#OpenData #EpiMastodon #JuliaLang #Epidemiology #OpenScience @epiverse

📢 New weekly release of the Italian #COVID19 integrated surveillance data containing daily incidences of confirmed, symptomatic, hospitalised and deceased cases by date of key event disaggregated by region, sex and age!

• Authors: @PietroMonticone, @ClaudioMoroni

• GitHub Repository: https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data

#OpenData #EpiMastodon #JuliaLang :julia: