Movements

A network exists within

Seriously, the book is a network. The entirety is the message. It’s the whole. These are the references within the book to other ideas in the book, and when it all finally comes together: that’s what I’m talking about. 

gephi-movements-connections.png

Network graph color-coded by section: gray=Introduction, teal=information, magenta=who-ness, yellow-time, green=fractal implications. It's hard to read even for sighted people; 100 nodes and 620 edges.

Information, and people. Everything is connected; and everyone, everywhere, throughout time, with meaning and context enriching it. We can’t (yet?) take it all in, especially while we’re running around with our urgencies, working desperately to survive. In our daily lives, it’s prudent to sip at the information to avoid overwhelm.  But for this book to really make sense, it takes the whole. 

Work through it. Come back, work through it again, and it will make more sense. I did everything I could think of to make it easier to parse.

Some of the more interesting intersections are:

failing information states

failing information states.png

Network graph with failing information states and connections highlighted.

This was not on my bingo card for being highly central to the hanging together of information, yet once I saw it my reactions was...why wasn't it? Information fails. It actually fails easily, because there is so much we don't understand. Once it fails, if we don't figure it out, the failures just keep coming.

Memory

memory.png

Network graph with memory and connections highlighted.

Memory is important, but again: wasn't on my shortlist for what would have statistical relevance. I like to think that extra-mind information can impact decisions.

Ouruborus

ouruborus.png

Network graph with ouruborus (of perception) and connections highlighted.

This one was on my shortlist for statistical relevance. It's where everything comes together: the information we have, how we process it, and time.

Perspectives

perspective.png

Network graph with perspectives and connections highlighted.

This one was on my long list for statistical relevance, mostly because it's so much a part of figuring out what information needs to be surfaced.