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[PRE REVIEW]: CM++ - A Meta-method for Well-Connected Community Detection #5998
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Assigned! @arfon is now the editor |
Five most similar historical JOSS papers: Connectome Mapper 3: A Flexible and Open-Source Pipeline Software for Multiscale Multimodal Human Connectome Mapping PyClustering: Data Mining Library Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience fmcmc: A friendly MCMC framework compareMCMCs: An R package for studying MCMC efficiency |
Thank you @arfon. In case it helps, I suggest tahirinadia and amarkos (I left the @ out) . I don't know either of them personally nor do I think there are any conflicts of interest. |
@LuisScoccola @annoviko @TahiriNadia @amarkos – :wave: would any of you be willing to review this submission for JOSS? The submission under consideration is CM++ - A Meta-method for Well-Connected Community Detection The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. You can learn more about the process in these guidelines: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html Based on your experience, (and for some of you, past submissions to JOSS) we think you might be able to provide a great review of this submission. Please let me know if you think you can help us out! Many thanks |
@arfon sorry for the slow response. I'm happy to do the review. I'll be able to start in about two weeks. |
Amazing, thank you @LuisScoccola! |
@editorialbot add @LuisScoccola as reviewer |
@LuisScoccola added to the reviewers list! |
@chryswoods @jakobbossek @volfpeter – 👋 would any of you be willing to review this submission for JOSS? The submission under consideration is CM++ - A Meta-method for Well-Connected Community Detection The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. You can learn more about the process in these guidelines: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html Based on your experience, (and for some of you, past submissions to JOSS) we think you might be able to provide a great review of this submission. Please let me know if you think you can help us out! Many thanks |
Hi @arfon for personal reasons, unfortunately I won't be able to spend time on it in the coming weeks. |
@arfon - yes, I am happy to review :-) |
@editorialbot add @chryswoods as reviewer |
@chryswoods added to the reviewers list! |
@editorialbot start review |
OK, I've started the review over in #6073. |
@LuisScoccola, @chryswoods, thanks for agreeing to review here. See you over in #6073 where the actual review will take place. |
Submitting author: @chackoge (George Chacko)
Repository: https://github.com/illinois-or-research-analytics/cm_pipeline.git
Branch with paper.md (empty if default branch): main
Version: v4.0.0
Editor: @arfon
Reviewers: @LuisScoccola, @chryswoods
Managing EiC: Arfon Smith
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