Update README and docs

Co-Authored-By: Claudio Moroni <43729990+ClaudMor@users.noreply.github.com>
Co-Authored-By: Pietro Monticone <38562595+pitmonticone@users.noreply.github.com>

Author: 3 people

README.md

@@ -31,7 +31,7 @@ Multiple theoretical frameworks have been proposed to formally subsume all insta
 
 Multilayer graphs have been adopted to model the structure and dynamics of a wide spectrum of high-dimensional, non-linear, multi-scale, time-dependent complex systems including physical, chemical, biological, neuronal, socio-technical, epidemiological, ecological and economic networks ([Cozzo et al. (2013)](https://doi.org/10.1103/physreve.88.050801); [Granell et al. (2013)](https://doi.org/10.1103/physrevlett.111.128701); [Massaro and Bagnoli (2014)](https://doi.org/10.1103/physreve.90.052817); [Estrada and Gomez-Gardenes (2014)](https://doi.org/10.1103/physreve.89.042819); [Azimi-Tafreshi (2016)](https://doi.org/10.1103/physreve.93.042303); [Baggio et al. (2016)](https://doi.org/10.1073/pnas.1604401113); [DeDomenico et al. (2016)](https://doi.org/10.1038/nphys3865); [Amato et al. (2017)](https://doi.org/10.1038/s41598-017-06933-2); [DeDomenico (2017)](https://doi.org/10.1093/gigascience/gix004); [Pilosof et al. (2017)](https://doi.org/10.1038/s41559-017-0101); [de Arruda et al. (2017)](https://doi.org/10.1103/physrevx.7.011014); [Gosak et al. (2018)](https://doi.org/10.1016/j.plrev.2017.11.003); [Soriano-Panos et al. (2018)](https://doi.org/10.1103/physrevx.8.031039); [Timteo et al. (2018)](https://doi.org/10.1038/s41467-017-02658-y); [Buldú et al. (2018)](https://doi.org/10.1162/netn_a_00033); [Lim et al. (2019)](https://doi.org/10.1038/s41598-019-39243-w); [Mangioni et al. (2020)](https://doi.org/10.1109/tnse.2018.2871726); [Aleta et al. (2020)](https://doi.org/10.1038/s41562-020-0931-9); [Aleta et al. (2022)](https://doi.org/10.1073/pnas.2112182119)). 
 
-MultilayerGraphs.jl is an integral part of the [JuliaGraphs](https://github.com/JuliaGraphs) ecosystem extending [Graphs.jl](https://github.com/JuliaGraphs/Graphs.jl) so all the methods and metrics exported by Graphs.jl work for multilayer graphs, but due to the special nature of multilayer graphs the package features a peculiar implementation that maps a standard integer-labelled vertex representation to a more user-friendly framework exporting all the objects an experienced practitioner would expect such as nodes (`Node`), vertices (`MultilayerVertex`), layers (`Layer`), interlayer (`Interlayer`), etc.
+MultilayerGraphs.jl is an integral part of the [JuliaGraphs](https://github.com/JuliaGraphs) ecosystem extending [Graphs.jl](https://github.com/JuliaGraphs/Graphs.jl) so all the methods and metrics exported by Graphs.jl work for multilayer graphs, but due to the special nature of multilayer graphs the package features a peculiar implementation that maps a standard integer-labelled vertex representation to a more user-friendly framework exporting all the objects an experienced practitioner would expect such as nodes (`Node`), vertices (`MultilayerVertex`), layers (`Layer`), interlayers (`Interlayer`), etc.
 
 MultilayerGraphs.jl features multilayer-specific methods and metrics including the global clustering coefficient, the overlay clustering coefficient, the multilayer eigenvector centrality, the multilayer modularity and the Von Neumann entropy.
 

docs/src/index.md

@@ -32,7 +32,7 @@ Multiple theoretical frameworks have been proposed to formally subsume all insta
 
 Multilayer graphs have been adopted to model the structure and dynamics of a wide spectrum of high-dimensional, non-linear, multi-scale, time-dependent complex systems including physical, chemical, biological, neuronal, socio-technical, epidemiological, ecological and economic networks ([Cozzo et al. (2013)](https://doi.org/10.1103/physreve.88.050801); [Granell et al. (2013)](https://doi.org/10.1103/physrevlett.111.128701); [Massaro and Bagnoli (2014)](https://doi.org/10.1103/physreve.90.052817); [Estrada and Gomez-Gardenes (2014)](https://doi.org/10.1103/physreve.89.042819); [Azimi-Tafreshi (2016)](https://doi.org/10.1103/physreve.93.042303); [Baggio et al. (2016)](https://doi.org/10.1073/pnas.1604401113); [DeDomenico et al. (2016)](https://doi.org/10.1038/nphys3865); [Amato et al. (2017)](https://doi.org/10.1038/s41598-017-06933-2); [DeDomenico (2017)](https://doi.org/10.1093/gigascience/gix004); [Pilosof et al. (2017)](https://doi.org/10.1038/s41559-017-0101); [de Arruda et al. (2017)](https://doi.org/10.1103/physrevx.7.011014); [Gosak et al. (2018)](https://doi.org/10.1016/j.plrev.2017.11.003); [Soriano-Panos et al. (2018)](https://doi.org/10.1103/physrevx.8.031039); [Timteo et al. (2018)](https://doi.org/10.1038/s41467-017-02658-y); [Buldú et al. (2018)](https://doi.org/10.1162/netn_a_00033); [Lim et al. (2019)](https://doi.org/10.1038/s41598-019-39243-w); [Mangioni et al. (2020)](https://doi.org/10.1109/tnse.2018.2871726); [Aleta et al. (2020)](https://doi.org/10.1038/s41562-020-0931-9); [Aleta et al. (2022)](https://doi.org/10.1073/pnas.2112182119)). 
 
-MultilayerGraphs.jl is an integral part of the [JuliaGraphs](https://github.com/JuliaGraphs) ecosystem extending [Graphs.jl](https://github.com/JuliaGraphs/Graphs.jl) so all the methods and metrics exported by Graphs.jl work for multilayer graphs, but due to the special nature of multilayer graphs the package features a peculiar implementation that maps a standard integer-labelled vertex representation to a more user-friendly framework exporting all the objects an experienced practitioner would expect such as nodes ([`Node`](@ref)), vertices ([`MultilayerVertex`](@ref)), layers ([`Layer`](@ref)), interlayer ([`Interlayer`](@ref)), etc.
+MultilayerGraphs.jl is an integral part of the [JuliaGraphs](https://github.com/JuliaGraphs) ecosystem extending [Graphs.jl](https://github.com/JuliaGraphs/Graphs.jl) so all the methods and metrics exported by Graphs.jl work for multilayer graphs, but due to the special nature of multilayer graphs the package features a peculiar implementation that maps a standard integer-labelled vertex representation to a more user-friendly framework exporting all the objects an experienced practitioner would expect such as nodes ([`Node`](@ref)), vertices ([`MultilayerVertex`](@ref)), layers ([`Layer`](@ref)), interlayers ([`Interlayer`](@ref)), etc.
 
 `MultilayerGraph` and `MultilayerDiGraph` are fully-fledged Graphs.jl extensions. Both structs are designed to allow for layers and interlayers of any type (as long as they are Graphs.jl extensions themselves) and to permit layers and interlayers of different types. However, it is required that all layers and interlayers in `MultilayerGraph` are undirected, and all layers and interlayers in `MultilayerDiGraph` are directed.