How to Spot Emerging Note Clusters Without Alphanumeric Note Numbering? by [[Ton Zijlstra]] in Interdependent Thoughts

I recall Bob Doto had a video at some point in which he used the local graph to show relationships to find bunches of notes for potentially writing pieces or articles as indicated in Tons' article.

One of the biggest issues with digital note taking tools is that they don't make it easy to see and identify chains of notes which might make for articles, chapters, or books.

Surely there must be some way to calculate neighborhoods of notes from a topological perspective? Perhaps if one imposed a measure on the space to create relative distances of notes?

I do like the framing of folgezettel as a benefit with respect to user experience.

There is a lot of mention of the idea of trees within the note taking and zettelkasten space, but we really ought to be looking more closely at other living systems models like rhizomes and things which have a network-like structure.

https://www.youtube.com/watch?v=z3Tvjf0buc8

graph thinking

• intuitive
• speed, agility
• adaptability

; graph thinking : focuses on relationships to turn data into information and uses patterns to find meaning

property graph data model

• relationships (connectors with verbs which can have properties)
• nodes (have names and can have properties)

Examples:

• Purchase recommendations for products in real time
• Fraud detection

Use for dependency analysis

Devriendt, K., Martin-Gutierrez, S., & Lambiotte, R. (2020). Variance and covariance of distributions on graphs. ArXiv:2008.09155 [Physics, Stat]. http://arxiv.org/abs/2008.09155

Kiss, I. Z., Miller, J., & Simon, P. L. (2017). Mathematics of Epidemics on Networks: From Exact to Approximate Models. Springer International Publishing. https://doi.org/10.1007/978-3-319-50806-1

CSM_seminar Causal Inference Isn't What You Think It Is. (2020). Retrieved 24 August 2020, from https://panopto.lshtm.ac.uk/Panopto/Pages/Viewer.aspx?id=ac88b49f-7e63-458d-823e-abe50152fb66

Causal inference isn’t what you think it is. (n.d.). LSHTM. Retrieved June 26, 2020, from https://www.lshtm.ac.uk/newsevents/events/causal-inference-isnt-what-you-think-it

Blanchard, M. A., & Heeren, A. (2020). Why We Should Move from Reductionism and Embrace a Network Approach to Parental Burnout? [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/y34cq

First sighting of word arborescence. I thought they were just doing that for fun, as a play on "tree", but I guess it's a real graph theory concept (https://en.wikipedia.org/wiki/Arborescence_(graph_theory)).

I like this as a good alternative to the word arborescence. It seems to intuitively describe the concept using a more English-sounding word: it's talking about a specific branch/branching of the tree. Right?

what's the equation for that?

A forest is just a collection of trees. The main difference is that a forest does not necessarily need to be connected.