In my opinion that is the kind of thing you see in movies, but is hardly
useful in the real world. A network that looks like a huge hairball in 2D
will also look like a hairball in 3D.
For smaller graphs it shouldn't be a problem to get them visualised this
way with this python module:
https://patrickfuller.github.io/jgraph/
example:
https://patrickfuller.github.io/jgraph/examples/github.html
Cheers,
Felix
I would say that it can be helpful when you can interactively 'fly
through'
your data. It is possible to use a 'flying' interface with a game engine
type backend to allow interactive exploration of massive datasets.
In my opinion that is the kind of thing you see in movies, but is hardly
useful in the real world. A network that looks like a huge hairball in 2D
will also look like a hairball in 3D.
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Hi Guys,
I understand your concern, and yes, 3D is not a panacea. But there are some
studies that show when it is also displayed in 3D stereo path following
tasks can be more efficient than in 2D. Not a universal thing, but some
hints.
I think to a large extend it also depends on your display device. Just
displaying a 3D model on a 2D screen is not going to be much better. My
display device is a little different: http://assets.
inarkansas.com/66594/ualr-vr2-110.JPG 
But thanks for the answer!
Dirk
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