d3-force VS bitclout-demo

Here you parse the JSON response data and separate it into two lists, nodes and links. The forceSimulation() method is responsible for arranging our network and the positions of individual nodes. You can learn more about it here.

you need to use d3-force https://github.com/d3/d3-force

Layout and position the graph - done by the Simulator, which uses a d3-force library to simulate physical forces on particles. It supports the main thread simulation and offloaded simulation using WebWorkers for a performance boost.

That part was straightforward thanks to the "d3-force" plugin for D3.js:

https://github.com/d3/d3-force

I probably ought to spend a little more time tuning the parameters, though.

[1] https://github.com/d3/d3-force

One good example would be something like this GitHub - d3/d3-force: Force-directed graph layout using velocity Verlet integration.

It's a pretty straightforward D3 force visualization, if you're familiar with that library. Here's a link: https://github.com/d3/d3-force

In support of referring to this layout as "force-directed", it's worth noting that's the language d3 uses: https://github.com/d3/d3-force

Try looking up force directed graphs. Here's a good d3 lib for that https://github.com/d3/d3-force

The BitClout network data is stored in three separate CSV files which you will use to populate Memgraph. Create a database.py module and define a single function, load_data(cursor). This function uses the object cursor for submitting queries to the database. Let's start implementing it step by step: