Benjamin Smith

WOW!

The ig_degree_betweenness python module has hit 747 downloads just 2 days after its release!

If you work with social network analysis and want to detect clusters with two major popularity metrics, check out the ig_degree_betweenness - available in Python and R!

GitHub repositories in the comments below!

#datascience #python #rstats #igraph #socialnetworkanalysis

Just released my first Python library on PyPI!

`ig_degree_betweenness` is a Python implementation of the "Smith-Pittman" community detection algorithm.

This library brings the power the the {ig.degree.betweenness} R package to Python

Install from PyPI with: `pip install ig-degree-betweenness`

Link to GitHub + details in the comments.

#python #rstats #datatscience #socialnetworks #technology

The "Smith-Pittman" algorithm is now available as a Python implementation for #igraph users!

Leverage node degree and edge betweenness in community detection with this Girvan-Newman styled algorithm.

Remember to star the repo here: https://github.com/benyamindsmith/ig_degree_betweenness_py/

#datascience #python #rstats

{ig.degree.betweenness} got a hex sticker makeover!

If you use #R and #igraph and are looking for a community detection algorithm that clusters nodes based on key popularity metrics (node degree and edge betweenness) directly. Check out the Smith-Pittman algorithm!

#rstats

https://github.com/benyamindsmith/ig.degree.betweenness

Calling all #igraph enthusiasts!

We've identified and fixed a bug in {ig.degree.betweenness} related to the cluster_edge_betweenness() function.

The issue stemmed from a grep() action used for subgraph identification.

A fix has been implemented, and an update has been pushed to CRAN—it will be available in the coming days.

In the meantime, you can reinstall from the main branch here: https://github.com/benyamindsmith/ig.degree.betweenness

#RStats #DataScience #GraphTheory #BugFix

Calling all R and igraph enthusiasts!

FYI: there has been a bug noticed in the cluster_edge_betweenness code with the grep() action involved with selecting subgraphs for nodes. A new update has been pushed to CRAN and will be released in the coming days.

Reinstall from the main branch here for now: https://github.com/benyamindsmith/ig.degree.betweenness

#rstats #igraph #socialnetworks

Social network analysis be like:

#RStats #igraph

If you want to geek more about {igraph}. Check out the (UnOfffical) discord server with core members in it!

https://discord.gg/KjxYye5E

#rstats #igraph #python #C

🙏 Big thanks to the #rstats #geospatial and #igraph communities for giving {ig.degree.betweenness} so much love by checking it out!

I didn't think it would get this much attention! I am grateful to every single one of you for giving it a spin!

Give it a rip if you havent already: https://github.com/benyamindsmith/ig.degree.betweenness/