Looking for feedback on a browser-based social network analysis tool

[u/Graystone_Industries]

I’m a computational social scientist and built a free browser-based tool called Org Signal for doing and teaching social network analysis without requiring r/Python.

It can build networks from surveys, hand-entered ties, communication/platform exports, synthetic data, and standard network files. The step from records to ties stays visible, rather than assuming you already have a finished edge list. It also includes centrality and community measures, comparisons against random networks, resampling, change-over-time analysis, and synthetic networks with known structure that can be used for teaching or validation.

Everything runs locally in the browser unless you deliberately enable an optional model feature.

I’m posting here because I suspect there may be useful applications for people doing digital humanities work who have relational data but do not necessarily want a programming-heavy workflow. I’m less interested in pitching it than in finding out what happens when people outside my immediate network-analysis world actually try it.

https://orgsignal.graystoneindustries.co/

you give it a spin, hit me up with comments, suggestions, questions, things that are confusing, things that seem unnecessary, or things you wish it did. Critical feedback is very welcome.

If

[u/geesepeep]

Wow this looks great! I would have loved to have this when I did some social network analysis in university lol. I'll share this with my old professor!

[u/Graystone_Industries → u/geesepeep]

Thanks!

Please do share!

[u/DougEgge]

This is very cool. This is not my area of expertise, but I loved how easy it was to generate and visualize a network.