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The study of probability distributions over graphs. For example, the Erdős–Rényi model where each edge occurs independently with equal probability.
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Locally "unshortable" paths in graphs
Setup: Consider a connected graph G, with diameter "d".
Informally: Trivially (by definition of diameter), taking any path $P$ any nodes $P(i) , P(i+k)$ for $k>d$ can be connected by a SHORTER path. …
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What nodes of a graph should be vaccinated first?
Consider a graph, choose some "p: 0<p<1" (probability to infect the neighbor node).
Choose some random number "K" of nodes which are "infected" initially.
So we can generate epidemic model on a graph …
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Survey/references on random geometric $K$-NN – $K$-nearest-neighbour graphs?
[Edit:] Some related info on number of connected components of NN-graphs can be found here: https://cstheory.stackexchange.com/a/47037/2408
Sample $N$ points in $\mathbb{R}^d$ from some distributio …
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Citations graphs: what is known?
There has been much research related to web graphs and social graphs.
They can be thought of as a kind of random graphs, but the point is that
they are different from the well-known Erdős–Rényi model. …