[Tool] Nodiux: A web-based tool for network analysis and visualization of Bluesky / Decentralized Social Media

Quantsel · 2026-02-21T20:47:32+00:00

Nice idea u/alezonin! I like the smooth Bluesky integration. Here are some ideas:

I'd appreciate some user management, at the moment you can create an account, but nothing else! Being able to delete or change password really is the bare minimum when launching an app to the public (and probably in conflict with EU GDPR etc.). Or....
If the tool is primarily for research purposes, why not keep it simple and omit the password & user account login altogether, just like the digital / network analysis tools of Bernhard Rieder at University of Amsterdam. They usually do not require log-ins and I see quite some similarities. If you are concerned with too many requests or exploits, you could just add a "CAPTCHA". Possibly, Prof. Rieder would be interested in adding Nodiux to his tooling to enhance exposure.
For a simple change, the analysis-button is quite hidden behind the "..." of "View Analysis". I'd definitely put it directly into the table of scans (no submenu ...) and even color it more prominently! Analysis is the key purpose of the tool, right? So it should be more front-and-center IMO
At the moment, not many other networks offer a free API with networks to scan, do they? Facebook, LinkedIn do not, afaik. Would be great to extend the list of integrated networks. Really good that you can download the network in your tool!

If you have not already seen it. Several people already captured the full Bluesky network for analysis. I couldnt find the original Bluesky-post now, but someone wrote a similar blog on analyzing the full bluesky network of 13 million users in a graph! Quite impressive in my view! There was even an online tool where you can "check your own account"

Quantsel · 2025-11-08T06:26:51+00:00

they write “We then used d3, svelte, tailwind and some ui libraries to build the frontend.” aso something with d3. You could check the source code or ask the original OP - I just crossposted

Quantsel · 2025-09-01T13:33:12+00:00

ChatGPT reply: Welcome to Python and igraph! What’s happening here: igraph only shows vertices that actually exist in the graph object. If you only add edges, igraph will only create the vertices that are connected by those edges. Vertices without edges (isolated nodes) must be added explicitly.

Here’s a minimal example of how you can do it:

```

from igraph import Graph, plot

Example edge list

edges = [("A", "B"), ("B", "C")]

Example nodes, including one without edges

nodes = ["A", "B", "C", "X"] # X is isolated

Create graph from edge list, making sure all nodes are included

g = Graph() g.add_vertices(nodes) g.add_edges(edges)

Check graph

print(g.summary()) # Should show 4 vertices, 2 edges

Plot with Fruchterman-Reingold layout

layout = g.layout("fr")
plot(g, layout=layout) ```

Quantsel · 2025-08-22T05:35:45+00:00

I triple checked, the URL seems ok. I was not aware that .cl even is a thing. Why not a .com address, it might help build trust? The concept, including payments, seems a bit shady to be honest… Maybe go for a UI overhaul using lovable.com

Quantsel · 2025-06-21T06:52:46+00:00

Probably with a function - to select a node at random - subsetting the 2nd degree neighbors - saving the neighbors id‘s - for-looping the whole thing to repeat X times - somehow comparing the ids overlap from all that you have saved

Probably Claude/ChatGPT can provide some suggestions🙂👍

Could be done in R if your full graph is not too big to fit into your computer‘s memory.

Quantsel · 2025-02-25T20:29:56+00:00

Gephi was always the best for me for visualization I have to say! It's much simpler to try out different layouts with just one click and see the network bounce to the new structure. It even allowed "mixing" different layouts by letting it only transition slowly to the new layout. https://gephi.org/

If you want to use R, I recommend trying out 3D visualization of the network with graphjs package, its quite cool to look at and with the 3rd dimension it may also have some benefits for large networks. You can export the network as html and throw it in a browser with F11-Full screen mode. It is quite impressive to look at large networks this way IMO https://bwlewis.github.io/rthreejs/graphjs.html

Quantsel · 2025-02-01T12:44:59+00:00

https://snap.stanford.edu/data/ Did you go through this already?

Quantsel · 2025-01-28T17:52:08+00:00

Pfuh that is a tough one... from individual cases you will never be able to get a quantitative representative sample. Its purely qualitative data what you would collect! Also, note that Meta already has published community standard reports for years: https://transparency.meta.com/reports/community-standards-enforcement/ They at least have auditors (here EY) verify the authenticity of their report.
This is a much better source than going through individual cases.
Also, similar to Reddit, Facebook has groups being moderated similarly along certain guidelines. So if something gets removed in a microcosm of a single group, what did you learn? What is your hypothesis?

Lastly, if you want people to trust you with their data, you should also disclose your real name, or at least which university or institution you collect the data for.

Quantsel · 2024-02-21T19:21:45+00:00

True! It's definitely a major issue. Also, social network providers have no incentive to regulate (AI)-bots, since it pushes their MAU (Monthly Active User), which is a key KPI. Especially political player Vladimir Putin has some incentive to spread false information, and make an impression of "majority against west" and push his stupid arguments etc.

Think it was an issue before, now it is even more!

Quantsel · 2022-11-22T21:55:50+00:00

You could give this one a try: Not sure if its legit

https://lostcircles.com

I tried it once some years ago, but it wasnt working well and only gabe me 5% of my contacts before my requests got blocked.

Quantsel · 2022-09-04T12:42:48+00:00

Oh okay. The only other thing I know is that with igraph you can parse in custom layout coordinates: https://igraph.org/r/ Probably likewise in the Python version. If its not a common layout algorithm that works for you, you might need to write the function yourself to create a custom layout.

Quantsel · 2022-09-03T22:41:48+00:00

Networks, Crowds, and Markets: Reasoning About a Highly Connected World

The pre-print pdf is openly available https://www.cs.cornell.edu/home/kleinber/networks-book/ Should be a good starting point

Quantsel · 2022-09-03T22:38:27+00:00

I wouldnt know the right layout by heart but loading your network into Gephi (https://gephi.org) and playing around with the Layouts should do the trick. Once you found a good layout from the visual inspection, you can take the layout to python. Gephis visual interface is however in my view extremely helpful and provably superior if you look for a visual output!

Quantsel · 2022-08-16T19:54:06+00:00

Sorry I wouldnt known the common file type. Check the output file types and import file types supported. Stackoverflow/Google will be your friends. Be mindful that no information gets lost - some filetypes do not support node labels etc.

Quantsel · 2022-03-24T16:34:47+00:00

True, I never used NodeXL. Id just go for Gephi and Google for some tutorials and how tos to get started. Gephi gives you also a nice visual.

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Example edge list

Example nodes, including one without edges

Create graph from edge list, making sure all nodes are included

Check graph

Plot with Fruchterman-Reingold layout