Comments on: Six Degrees is just a game? Proof of serendipity?

By: Kareltje Krasker

Kareltje Krasker — Sat, 30 May 2009 06:15:07 +0000

Assuming all the various meta networks are visualized, one still needs to go to the area of most efficient collision points to drop it on. Would be nice if that area would come to you and/or to your idea. That would be something like a combination of “whisper” and “jeopardy” controlling the visualization of the meta networks?
Or put it more simplisticly: the idea attracts a “word”-cloud (only not with words but with collision points for most efficient drop-zone) and text being not the only form factor of the idea. Yes the huge scale and multi-dimensions feels towards 3D VWs for convergence.
Social spaces already know great speed and spread of ideas, now imagine the boost and after-burn it would get with a concept like this, maybe near-speed of light.

By: epredator

epredator — Sun, 10 May 2009 12:50:57 +0000

It would be interesting to be able to identify and visualize all the various meta networks to see where the collisions would be more effective. Sounds like we have another virtual world/3d application here. Certainly the model of the network of diseases was shown in a sphere.
Given these networks of networks are no respecter of scale the sort visualization and dynamic updates we can do in 3d may make it very obvious rather than needing to predict. i.e. if we can see the connections we cannot normally see will our own wetware network make sense of the relationships. Is that what some of us do when we see what we consider to be obvious as we go cross network types whilst others are focused on their own nodes?
Sounds like I need to dive into academia and do some proper research on this. It feels important

By: Kareltje Krasker

Kareltje Krasker — Fri, 08 May 2009 20:14:30 +0000

Excellent post Ian, it made me think…
To get to the fast connector/influencer social network analyses tools may be of help, but how could technology help predict for you what the most efficient collision point of networks is based on the context/semantics of a specific idea for faster adoption. After all, the most optimal collision point of networks could easily be just outside the horizon of the submitter of the idea.