Network overview

Edging closer to the quality of truth

network-ov.png

Diagram of a relatively complex network, with no regular patterns. Note: this same diagram will be the 'standard' diagram in the next few pages.

Knowing everything in all the universes is unlikely, so absolutely truth is beyond our capability to ascertain.

Networks are getting closer to the quality of truth. They are capable of expressing the density of the connections within the data.

Networks are complex to learn and understand.  It’s easier to lose your way and not know how to backtrack, and even be surprised when you find the information through a novel approach.

Add different users, different perspectives, and different objectives, and even using the exact same data and underlying network can result in entirely different experiences. Network is more difficult to keep 'hanging together'.

People will also take shortcuts. They’ll not fully dive into what the connection actually entails, or scale the relevance of data to their question too high or too low in it’s supporting strata. The higher their urgency, the more likely they’ll shortcut.

This is mostly based on first- to third-person watching. It’s been influenced by cosmology, consilience, and UX.

network overview:
connections, connectome, failing information states, garbage-in