the Flow De-composition Theorem:
Obtain a max-flow and consider the residual graph
the Flow De-composition Theorem:
Obtain a max-flow and consider the residual graph
An alternative proof
My Proof: Based on conservation law, split the network into s, L, R, t with nflow(L) = nflow(R) = 0, nflow(s) = excessive(t) for any split, thus max-flow <= min-cut.
Given a max-flow, remove an edge and reducing flow value from all down-stream flowing edge repetitively. Eventually total flow value of removed edge must = nflow(s) and it must be a cut (otherwise the original flow can be arugmented and not maximized).
Lemma 8.3. For any A ⊆ V (G) such that s ∈ A, t /∈ A, and any s-t-flow f ,(a) value ( f ) = ∑e∈δ+( A) f (e) − ∑e∈δ−( A) f (e).(b) value ( f ) ≤ ∑e∈δ+( A) u(e)
Better Proof: The (net) outflow of a set of vertice equal the sum of net flow of each vertice (Just write the forumla) and is thus equal to zero due to conservation law. So nflow(A, s) + nflow(A, V \ A \ s) = 0 the former is = - nflow(s).
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?
fz is less about the tree (though that is important) and more about the UX.
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 : focuses on relationships to turn data into information and uses patterns to find meaning
Use for dependency analysis
graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects
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
In graph theory, a tree is a connected acyclic graph; unless stated otherwise, in graph theory trees and graphs are assumed undirected. There is no one-to-one correspondence between such trees and trees as data structure.
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
This is an abstract form of De Morgan's laws, or of duality applied to lattices.
A plane graph is said to be self-dual if it is isomorphic to its dual graph.
Equivalently, an arborescence is a directed, rooted tree in which all edges point away from the root
This graph view is the easiest possible mental model for RDF and is often used in easy-to-understand visual explanations
arborescence
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)).
branching
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?
Two people can have one conversation. Three people have four unique conversation groups (three different two-person conversations and a fourth conversation between all three as a group). Five people have 26. Twenty people have 1,048,554.
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.