So, The Force-directed force field is applied, but each node has zero affinity because the CoreML inference results are not plugged into the force fields yet.
We are going to change this today, and we will plug the scoring of many inference engines into this view.
The goal is fairly simple, the Deep Natural language processors will set up from “low to high” the people with their tweets, and as you expect, people will good twitter reasonable like will be at your own level. People posting very “irritating” tweets, and everything society think is “low” will be showing below, and what is seeing as “isotheric” will appear high.
Then, science based will be pointing the north, etc … This is when we will know if a 3D based interface can be usefull, we are going to try to build constalations of ideas, and trees of vitual locations for tweets and let’s what will happen.
I am sharing with you the construction process, because I hope to be copied, sooner or later.
[youtube https://www.youtube.com/watch?v=7LALeBxCFgQ&w=560&h=315]