Ok, I'm pretty sure we have correctly completed the author checklist with all the changes requested by the reviewers for the #JOSS paper associated with MultilayerGraphs.jl :julia:!
β Open Review https://github.com/openjournals/joss-reviews/issues/5116#issuecomment-1449071586
π Pre-print https://github.com/openjournals/joss-papers/blob/joss.05116/joss.05116/10.21105.joss.05116.pdf
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience #FOSS
#joss #julialang #JuliaPackages #GraphMastodon #MultilayerGraphs #networkscience #datascience #foss
The #JOSS paper associated with MultilayerGraphs.jl :julia: is finally under review.
If youβre interested here you can follow the open review process https://github.com/openjournals/joss-reviews/issues/5116.
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience #FOSS
#joss #julialang #JuliaPackages #GraphMastodon #MultilayerGraphs #networkscience #datascience #foss
π’ New minor release of MultilayerGraphs.jl (1.1.2)!
β Implemented node-aligned edge-colored graphs.
They can be adopted to model online social media networks like @Mastodon endowed with layers encoding multiple interaction types (e.g. "like", "boost", "follow", etc.) and no interlayers.
π¦ Repo: https://github.com/JuliaGraphs/MultilayerGraphs.jl
π Docs: https://juliagraphs.org/MultilayerGraphs.jl
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience #FOSS
#julialang #JuliaPackages #GraphMastodon #MultilayerGraphs #networkscience #datascience #foss
RT @In_Phy_T@twitter.com
π’ We're very excited to announce MultilayerGraphs.jl π!
- Repo: https://github.com/InPhyT/MultilayerGraphs.jl
- Docs: https://inphyt.github.io/MultilayerGraphs.jl
- Authors: @Claudio__Moroni@twitter.com, @PietroMonticone@twitter.com
π¦π: https://twitter.com/In_Phy_T/status/1560594513189638146
π’ MultilayerGraphs.jl v1.1 is out!
It features new subgraph interfaces, generalised graph generators, faster graph realisation methods, weight and metadata tensor types and more.
π§΅ Thread: https://fosstodon.org/@InPhyT/109661211540157933
π¦ Repo: https://github.com/JuliaGraphs/MultilayerGraphs.jl
π Docs: https://juliagraphs.org/MultilayerGraphs.jl
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience #FOSS
#foss #datascience #networkscience #MultilayerGraphs #GraphMastodon #JuliaPackages #julialang
β ... and much more!
For a more comprehensive description, we recommend to consult the following resources:
π¦ Repository: https://github.com/JuliaGraphs/MultilayerGraphs.jl
π Documentation: https://juliagraphs.org/MultilayerGraphs.jl
#GitHub discussions, issues and PRs are always welcome!
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience #FOSS
#github #julialang #JuliaPackages #GraphMastodon #MultilayerGraphs #networkscience #datascience #foss
β implemented faster graph realization algorithms such as the Havel-Hakimi algorithm 1β£ for undirected graphs and the Kleitman-Wang algorithm 2β£ for directed ones;
1β£ Hakimi (1962) https://doi.org/10.1137/0110037
2β£ Kleitman and Wang (1973) https://doi.org/10.1016/0012-365x(73)90037-x
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience #FOSS
#julialang #JuliaPackages #GraphMastodon #MultilayerGraphs #networkscience #datascience #foss
β integrated the package within the #JuliaDynamics ecosystem to make it compatible with #Agents allowing for agent-based modelling on general multilayer networks https://github.com/JuliaDynamics/Agents.jl;
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience #FOSS
#juliadynamics #agents #julialang #JuliaPackages #GraphMastodon #MultilayerGraphs #networkscience #datascience #foss
Since the previous version of #MultilayerGraphs we have:
β integrated the package within the #JuliaGraphs ecosystem to guarantee methodological consistency and enrich the variety of possible graph structures underlying layers and interlayers https://github.com/JuliaGraphs;
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience #FOSS
#MultilayerGraphs #JuliaGraphs #julialang #JuliaPackages #GraphMastodon #networkscience #datascience #foss
#MultilayerGraphs have been adopted to model the structure and dynamics of a wide spectrum of high-dimensional, multi-scale, time-dependent #ComplexSystems including physical, chemical, biological, neuronal, socio-technical, epidemiological, ecological and economic networks.
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience #FOSS
#MultilayerGraphs #complexsystems #julialang #JuliaPackages #GraphMastodon #networkscience #datascience #foss
MultilayerGraphs.jl is a #JuliaLang package for the creation, manipulation and analysis of multilayer graphs.
A multilayer graph consists of multiple subgraphs called "layers" which can be interconnected through bipartite graphs called "interlayers".
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience #FOSS
#julialang #JuliaPackages #GraphMastodon #MultilayerGraphs #networkscience #datascience #foss
π’ We're happy to announce the new release of MultilayerGraphs.jl (v1.1) π!
Interested in multilayer network science in @JuliaLanguage?
Read the following π§΅ summarising the main features of the package by @ClaudioMoroni and @PietroMonticone.
π¦ Repository: https://github.com/JuliaGraphs/MultilayerGraphs.jl
π Documentation: https://juliagraphs.org/MultilayerGraphs.jl
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience #FOSS
#julialang #JuliaPackages #GraphMastodon #MultilayerGraphs #networkscience #datascience #foss
Saturday night update.
β’ "JOSS": submitted the paper. Here is the issue associated with the open pre-review https://github.com/openjournals/joss-reviews/issues/5055#issuecomment-1374536517. Ops, it looks like it's a bit too long. Let's see how to synthesise it without ruining it too much...
β’ "minor_fixes": merged the PR and registered the new version (1.1.1) of MultilayerGraphs.jl :julia:! https://github.com/JuliaGraphs/MultilayerGraphs.jl/releases/tag/v1.1.1
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience #FOSS
#foss #datascience #networkscience #MultilayerGraphs #GraphMastodon #JuliaPackages #julialang
It's Friday night, which means lots of #FOSS development at @InPhyT!
Currently jumping back and forth between the following branches of MultilayerGraphs.jl :julia::
β’ "JOSS": almost finished writing the draft of the paper to be submitted to #JOSS https://github.com/JuliaGraphs/MultilayerGraphs.jl/blob/JOSS/paper/paper.pdf
β’ "minor_fixes": its PR will fix a few bugs, extend docs and update README soon https://github.com/JuliaGraphs/MultilayerGraphs.jl/tree/minor_fixes
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #DataScience
#datascience #networkscience #MultilayerGraphs #GraphMastodon #JuliaPackages #julialang #joss #foss
π’ We are very excited to announce the 1.0.0 release of MultilayerGraphs.jl π
- 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 #JuliaPackages #MultilayerGraphs #graphs #networks #networkscience #foss #discretemathematics
Just opened a PR on Graphs.jl :julia: dedicated to the implementation of graph generators: algorithms realising simple undirected/directed graphs from graphical/digraphical degree sequences.
β’ Exact line of the Havel-Hakimi algorithm: https://github.com/InPhyT/Graphs.jl/blob/763f4cffaea3618057cd4504572969fe8f7d9f28/src/SimpleGraphs/generators/randgraphs.jl#L983
β’ Exact line of the Kleitman-Wang algorithm: https://github.com/InPhyT/Graphs.jl/blob/763f4cffaea3618057cd4504572969fe8f7d9f28/src/SimpleGraphs/generators/randgraphs.jl#L1046
#JuliaLang #JuliaPackages #MultilayerGraphs #Graphs #NetworkScience #FOSS #DiscreteMathematics
#discretemathematics #foss #networkscience #Graphs #MultilayerGraphs #JuliaPackages #julialang
Just created a new branch of MultilayerGraphs.jl :julia: dedicated to the implementation of graph generators: algorithms realising simple undirected/directed graphs from graphical/digraphical degree sequences.
Here is the exact line where you can find the (just implemented) Havel-Hakim algorithm: https://github.com/JuliaGraphs/MultilayerGraphs.jl/blob/ce24f64046a975de5dda5eb748904dad6acf93b8/src/utilities.jl#L604
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #Graphs #NetworkScience #FOSS #DiscreteMathematics
#discretemathematics #foss #networkscience #Graphs #MultilayerGraphs #GraphMastodon #JuliaPackages #julialang
Currently working on the final stages of the next release of MultilayerGraphs.jl :julia:!
https://github.com/JuliaGraphs/MultilayerGraphs.jl
#JuliaLang #JuliaPackages #GraphMastodon #MultilayerGraphs #NetworkScience #FOSS
#foss #networkscience #MultilayerGraphs #GraphMastodon #JuliaPackages #julialang
π’ We're happy to present MultilayerGraphs.jl π
- Repo: https://github.com/JuliaGraphs/MultilayerGraphs.jl
- Docs: https://juliagraphs.org/MultilayerGraphs.jl
- Authors: @Claudio__Moroni, @PietroMonticone
π§΅ A little thread below β¬οΈ
#JuliaLang #JuliaPackages #JuliaGraphs #GraphMastodon #NetworkScience #GraphTheory
#julialang #JuliaPackages #JuliaGraphs #GraphMastodon #networkscience #GraphTheory
π’ We're happy to present ICD_GEMs.jl π
- Repo: https://github.com/JuliaHealth/ICD_GEMs.jl
- Docs: https://juliahealth.org/ICD_GEMs.jl/dev
- Authors: @PietroMonticone, @Claudio__Moroni
#JuliaPackages #JuliaHealth #JuliaEpi #cdc #who #health