Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Basic models and questions in statistical network analysis   Extracting information from large graphs has become an important statistical
problem since network data is now common in various fields. In this minicourse
we will investigate the most natural statistical questions for three canonical
probabilistic models of networks: (i) community detection in the stochastic
block model, (ii) finding the embedding of a random geometric graph, and (iii)
finding the original vertex in a preferential attachment tree. Along the way we
will cover many interesting topics in probability theory such as P\'olya urns,
large deviation theory, concentration of measure in high dimension, entropic
central limit theorems, and more.

9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio