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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 …
Ben Barber's user avatar
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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 …
Ben Barber's user avatar
  • 4,589
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 …
Ben Barber's user avatar
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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 …
Ben Barber's user avatar
  • 4,589
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 …
Ben Barber's user avatar
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