Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Nonlinear Spectral Method for Core--Periphery Detection in Networks   We derive and analyse a new iterative algorithm for detecting network
core--periphery structure. Using techniques in nonlinear Perron-Frobenius
theory, we prove global convergence to the unique solution of a relaxed version
of a natural discrete optimization problem. On sparse networks, the cost of
each iteration scales linearly with the number of nodes, making the algorithm
feasible for large-scale problems. We give an alternative interpretation of the
algorithm from the perspective of maximum likelihood reordering of a new
logistic core--periphery random graph model. This viewpoint also gives a new
basis for quantitatively judging a core--periphery detection algorithm. We
illustrate the algorithm on a range of synthetic and real networks, and show
that it offers advantages over the current state-of-the-art.

21
The categories of this paper are: adap-org
19
The categories of this paper are: eess
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph