The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
R package that converts transcripts to graphs (networks), includes parameters relevant to educational research
Many disciplines use transcripts to record sequential information. Transcripts that capture a conversation can become long, making systematic analyses difficult or time-consuming. This package allows researchers to visualize transcripts in a succinct format through the lens of graph theory. Graph theory is a discipline of mathematics involving “nodes” and “edges” that model objects and the relations between them. The goal is to get more information from transcripts through this alternative view.
Graphs, nodes, and edges may be characterized in various ways. For example, the number of edges connected to any particular node is called the node’s degree. Another example, the number of edges in a graph divided by the number of possible edges is called the density of the graph. We consider these characteristics of graphs (calling them “parameters”) and pick out the relevant ones for educational researchers.
To get started installing the package, run the command install.packages('discourseGT') in R, which will download the most stable package from CRAN.
The key functions and examples of how to use this package can be found in this document.
Please open an issue on GitHub.
If you have an idea (but no code yet), open an issue on GitHub. If you want to contribute with a specific feature and have the code ready, fork the repository, add your code, and create a pull request.
The easiest way is to open an issue - this way, your question is also visible to others who may face similar problems.
This package is MIT Licensed
Written by Albert Chai <@albertchai>, Andrew S. Lee <@alee4738>, Joshua P. Le <@jpl038>, Jitarth Sheth <@jshethbright>, Qi Cui <@q1cui>, and Stanley M. Lo <@smlo>
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.