threadleR
threadleR is an R package that provides a seamless interface to Threadle, enabling R users to work with large-scale network data directly from their R environments. The threadleR R package is developed and maintained by Yukun Jiao, student at the Masters program in Computational Social Science at Linköping University, Sweden. Similar to Threadle, threadleR is open source and available here:
https://github.com/YukunJiao/threadleR/
How it works
threadleR communicates with the Threadle CLIconsole through a child process, sending commands as JSON and receiving structured results back. This means:
- Networks and Nodesets stay in Threadle's memory-efficient engine
- R receives only the data you request (query results, statistics, samples)
- Best of both worlds: R's analytical ecosystem and Threadle's scalability
Examples
Check out the vignettes example on Yukun's github: .
Installation
Check out the Installation instructions in the User Guide.