Visualizing QualCoder code networks with R using a GUI (rk.network.graphs) #1276
Replies: 2 comments 5 replies
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Hi @AlfCano Very interesting, I wasn't aware of this plugin, thanks for sharing it. I wanted to mention that QualCoder already has some network analysis features built into the Co-occurrence Report that may complement your workflow. From there it's currently possible to:
Internally this uses NetworkX for graph construction and community detection, and Matplotlib for the static rendering. The GraphML export might actually be a useful entry point for your plugin, since igraph in R can read it natively with read_graph(file, format = "graphml"), that could bypass the need to standardize CSVs, at least for the network analysis side. I haven't explored other export matrix formats yet, but I'd be happy to test the bridge between QualCoder's GraphML output and your plugin if that's useful. Thanks again for the contribution, this kind of interoperability between QDA and statistical tools is exactly what the open-science ecosystem needs. Best, |
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Hola.
Gracias por darte el tiempo de compartir lo que estás haciendo.
Creo que hay mucho potencial en aprovechar la funcionalidad de GET CODING
TABLE, sobre todo porque aporta profundidad al pasar de sólo del conteo de
las coocurrencias al grado de las incidencias.
Gracias nuevamente por tu tiempo y disposición.
Saludos
Alfonso
El jue, 21 de may. de 2026 3:01 a. m., Salomon-Mazatlan <
***@***.***> escribió:
… Saludos, @AlfCano <https://github.com/AlfCano>
He estado revisando la presentación alojada en tu sitio de Google (Recursos
de RKWard
<https://sites.google.com/viep.com.mx/recusosderkward/p%C3%A1gina-principal>)
sobre análisis mixto con QualCoder y Gephi. Me ha parecido un material
bastante completo y enriquecedor.
He tomado algunas notas con la idea de proponer, más adelante, nuevas
funcionalidades relacionadas con la exportación de informes compatibles con
Gephi, especialmente a partir de la Coding Table.
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Hi everyone,
First of all, thank you to the developers and contributors for maintaining such an amazing open-source tool for qualitative research. As a social researcher, I deeply value open science and accessible QDA software.
I just wanted to share rk.network.graphs, a graphical user interface (GUI) plugin for RKWard (an easy-to-use IDE for R).
📦 You can check it out here:
https://alfcano.r-universe.dev/rk.network.graphs
and here:
https://github.com/AlfCano/rk.network.graphs
While QualCoder does a fantastic job organizing and coding the data, you can export your code matrices or edge lists (as CSVs) and bring them into R for statistical and visual network analysis. From a co-currence matrix or the default query: "GET_CODING_TABLE" .
This plugin provides a simple, point-and-click interface inside RKWard to generate these network graphs directly from your datasets—no R programming skills required.
Potential Workflow:
I would love to hear your thoughts on this workflow. Also, if anyone has ideas on how to standardize QualCoder's CSV exports to make them instantly readable by this RKWard plugin, I am completely open to collaborating to make the bridge between both tools as seamless as possible.
Thank you for your time, and keep up the great work with QualCoder!
Best regards,
Alfonso
Creating an igraph object:
Selecting aesthetics:

Assigning the network to the workspace:

Exporting to GEXF:

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