snahelper is an Rstudio Addin to analyse and visualize networks.
You can install the developer version with:
#install.packages(devtools)
devtools::install_github("schochastics/snahelper")In order to work properly, the Package also needs the smglr Package,
which adds a new layout algorithm.
devtools::install_github("schochastics/smglr")In order to use the Addin, simply highlight a network in your script and
select snahelper from the Addin dropdown menu.
The layout tab allows you to choose from all implemented algorithms in
igraph and the stress based layout from smglr, which is the default
and recommended choice. See my
blog for
an explanation. In the tweak section you can move individual nodes
around. The implementation is still very crude, so don’t expect miracles
from that. The layout is saved as node attributes x and y.
The Node Attribute Manager shows all existing node attributes in a sortable table. In addition, you can calculate some new ones (centrality and clustering). More will be added in the future.
This is where you can style your nodes. You can either do it manually, by choosing a color/size for all nodes together, or based on an attribute.
Same as Node Attribute Manager but for edges. So far only shows existing edge attributes.
You can style your edges here. snahelper automatically detects if your
network is directed and adds arrows if the network is directed. The
other options are similar to the nodes tab. The curvature option allows
you to bend edges. I highly suggest, that you only bend your edges if
there are two edges running between the same set of nodes to make them
visible. If you do not have reciprocal edges, then just leave it at 0.
The result tab shows the network in its full size. If you are satisfied with the results, hit the Done button and the R code to produce the plot is automatically inserted in your script.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent