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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.
2
votes
Probability of relations in network
The key thing is to be precise about what model is used to generate your random graphs. It's typically not enough to pick out some set of events and specify that they hold with particular probabiliti …
5
votes
In a random graph which one is more probable, $k$-clique or $k$-core?
Every graph of average degree $2k$ contains a subgraph of minimum degree $k$, so the threshold for the appearance of a non-empty $k$-core is at most $2k/n$. Since the threshold for the appearance of …
1
vote
How to show that random graphs cannot be embedded with short edges
For fixed $k$, fixed $p$ and large $n$ I would expect this to be just the minimum possible diameter, scaling like $n^{1/k}$.
In a random graph, any two sets of $\epsilon n$ vertices have the same numb …
4
votes
Probability in Chromatic number upper bound of induced subgraph
My copy of the book being in my locked-down office makes it easy to avoid checking which section this question is from for a hint of the expected method, so here's a sledge hammer.
Fix a partition $V …
5
votes
Accepted
Modification of matching
Sudakov and Vu proved that, for $p \gg \log n / n$, $G_{n,p}$ has a perfect matching with high probability even after adversarially deleting $(1 - o(1))pn/2$ edges at each vertex. The same argument w …