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A short list of R network analysis packages appears in the "Awesome R" list:
-- Suggestion #1
Perhaps it would make sense to build an "Awesome Network Analysis"
list that covers both R and Python, as well as other languages and
tools, such as Gephi, Linkurious, etc.
GitHub is perfect for building such lists collaboratively. Here's a
template that anyone with a GitHub account can contribute to:
For more information about "awesome lists" (which include, for
instance, a list about neural networks):
-- Suggestion #2
It might make sense to have a CRAN Task View just on Network Analysis,
and to link to it from the CRAN Task View on Social Sciences. See:
On 10 April 2016 at 19:37, Raffaele Vacca <[log in to unmask]> wrote:
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> Hi Ian,
> Very interesting project! I would definitely include igraph in the
> Visualization category too, because igraph has very powerful visualization
> Another comment is that, looking at your list, it's not clear to me where
> you are drawing the line, that is, what the inclusion criterion for a
> package is. The list includes packages that are not specifically for
> networks, although they are certainly used by network analysts (e.g.
> data.table, gganimate). However, if the criterion is "any package that is
> used by network analysts", then some packages are missing which I'm sure
> several people in this community use (e.g. ggplot, dplyr), and in fact your
> list might quickly become very long and less meaningful. You might want to
> think about restricting the list to (1) packages that have at least some
> functions specifically thought for network data, or (2) packages that have
> dependencies or inverse dependencies to packages in (1). Or maybe you could
> do two lists, one for strictly network packages, one for "other packages
> that network analysts find useful" (a consensus analysis on this would be
> very interesting).
> On 4/10/16 9:32 AM, Ian McCulloh wrote:
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>> Hello Friends! I hope you enjoyed this year's Sunbelt.
>> I was surprised at the number and diversity of R packages being used at
>> this years Sunbelt. In fact, I have identified 32 different packages.
>> like to write a review paper of R packages for SNA and would like a little
>> help from the community up front. Below is a link to a google sheets
>> spreadsheet that lists the packages that I have identified. I have also
>> pasted them below in case there is an issue with the link. If you are an
>> user, I'd appreciate it if you could look at the list and let me know if I
>> am missing any packages, preferably by adding to/editing the google sheet,
>> but you can email me as well. I'm also interested in your opinions on how
>> I binned/organized the packages (CAPS LETTERS for topic bins).
>> The Link
>> If you have any thoughts on things that you might find useful in a review
>> paper on this topic, please let me know. I look forward to seeing you all
>> next year.
>> The list (in case you have a problem with the link)
>> BASIC NETWORK ANALYSIS
>> STATISTICAL ANALYSIS OF NETWORKS
>> VISUALIZATION PACKAGES
>> DATA COLLECTION
>> Kind Regards,
>> Ian McCulloh, PhD
>> Johns Hopkins University
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