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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

Number of nodes in a given distance in (random) regular graph

The magic words are "expander graph". A random regular graph is an expander, which means that the size of the layers is expanding until half the vertices are consumed. This (more or less) answers you …
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1 vote

Finding loops and double edges ASAP in configuration model random graph

Check out this work of Kim and Vu and references therein. WARNING: their algorithm is of very questionable use in practice, since the distribution is only asymptotically uniform, and since in the limi …
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2 votes

Expected number of leaf nodes in some theoretical graph models

For Erdos Renyi, the degree distribution is binomial, see for example these Cornell lecture notes by John Hopcroft.
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3 votes
Accepted

Max cut value in a random graph

This is addressed in: An upper bound for the maximum cut mean value Alberto Bertoni, Paola Campadelli and Roberto Posenato Their bound is the same as yours; more precisely, for a random graph with $ …
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4 votes

Probability of Generating a Connected Graph

See Clique sizes in a unit disk graph and references mentioned there... Your graphs are the unit disk graphs of the title. EDIT See http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.7.4866 …
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3 votes

A more efficient way to generate random graphs with a given degree sequence?

There is the algorithm of Blitzstein and Diaconis -- they claim very good practical performance.
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7 votes
Accepted

Generate random graphs that satisfy the triangle inequality

I am not sure I understand the issues: First you generate an ER (or your favorite model) random graph. The constraints that the edge lengths are in $[0, 1]$ and satisfy all possible triangle inequalit …
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1 vote

Relation between expected values of eigenvalues of Laplacian matrix of a graph and eigenvalu...

See the papers by Erdos (no relation) and collaborators, e.g.: Erdős, László; Knowles, Antti; Yau, Horng-Tzer; Yin, Jun, Spectral statistics of Erdős-Rényi graphs. I: Local semicircle law, Ann. Proba …
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2 votes

Proving a random bipartite graph contains a perfect matching

For a lot on the subject, see Frieze and Pittel and references therein (in particular, I think the result you want is due to Erdos-Renyi(!)(1960, 1964); average degree $O(\log n)$ is enough.
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1 vote

Random bipartite graphs

Check out: http://arxiv.org/pdf/cond-mat/0007235
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1 vote

Largest eigenvalue of the adjacency matrix of weighted random graph

When $p$ is reasonably large, you are basically looking at a random symmetric matrix, so any insight would come from the Tracy-Widom theory.
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2 votes
Accepted

Distribution of eigenvectors and eigenvalues for random, symmetric matrix

It sounds like the OP has a random perturbation of a fixed graph, which is not considered very frequently, but when they have, it seems to be by A. Flaxman (see, e.g.: Expansion and lack thereof in r …
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7 votes

Do these polynomials have alternating coefficients?

To add to the preceding answer: The absolute values of the coefficients appear normal (in particular, unimodal): Which means that the technology developed, in, eg, Lebowitz, J.L.; Pittel, B.; Ruell …
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