Pulling hierarchical structures out of network

Intuitive development of strata

network_to hierarchy.png

Standard network diagram, now with a bounding box and set as the "parent" (think encapsulated rich data node) to a relatively complex hierarchy of five categories.

Networks are nearing the quality of truth, but complex to learn and understand. 

Over time, we’ve come to understand that a hierarchical structure to data is easier to consume and disseminate with a higher rate of success for a larger fraction of people, so we’ve leaned into that structure. It’s not the only way to learn, just the most successful for a decent chunk of minds in the quickest timeframe. It may not even be a majority for whom it works well, just the largest chunk we could find and develop a single-form answer around.

One person’s idea of the most relevant connections will not match another person’s. To aid efficiency and speed, providing a hierarchy or process helps to get more people on the same page as a starting point. 

It will always, eventually, oscillate and fail with the addition of information.

This is mostly based on first- to third-person watching; take it with a sea of salt.

hierarchy from network:
failing information states, garbage-in, hierarchy, learning, strata, time