netrankr
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schochastics
An R package for network centrality
In the installation, I'm receiving the following error message: `Error : object ‘hcl.colors’ is not exported by 'namespace:grDevices'`. [This was a new feature in R-3.6](https://bookdown.org/hneth/ds4psy/D-3-apx-colors-basics.html#apx:hcl-color-palettes) . Is there an archived...
Great! Thanks for that! One suggestion, at least for the index-calculating functions. I think it would make sense if they all would share the same first two arguments: 1. The...
So far only undirected and unweighted networks are supported.
I ran `goodpractice::gp()`, which flagged a few practices that might be changed to make code less fragile (though the quality of the code overall seems solid): * `sapply()` can return...
The README invokes and links to the Contributor Code of Conduct, but i was not able to find guidance on how to seek support, report issues, or contribute to the...
I expect that the centrality index builder is quite useful for anyone not proficient with R. It is natural to use, so i understand why it has [minimal documentation](http://netrankr.schochastics.net/reference/index_builder.html), but...
The example graph used in the paper is not a real-world example but (i gather) a graph contrived to have different central nodes according to various common centrality measures. This...
The benchmarking vignette is compelling (and the availability of approximation methods is impressive), but i am unable to check the results for lack of source code. Certainly the vignette should...
This is more interpretative a question and not a review condition. `rank_intervals()` returns not only the intervals of each node's centrality rank range but their midpoints, which are NB'd to...
The vignettes in this package are, on the whole, exemplary. I appreciate that each addresses a specific topic so that none grow to impractical length. The vignette "Indirect relations in...