Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Inference of Extreme Synchrony with an Entropy Measure on a Bipartite
  Network   This article proposes a method to quantify the structure of a bipartite graph
using a network entropy per link. The network entropy of a bipartite graph with
random links is calculated both numerically and theoretically. As an
application of the proposed method to analyze collective behavior, the affairs
in which participants quote and trade in the foreign exchange market are
quantified. The network entropy per link is found to correspond to the
macroeconomic situation. A finite mixture of Gumbel distributions is used to
fit the empirical distribution for the minimum values of network entropy per
link in each week. The mixture of Gumbel distributions with parameter estimates
by segmentation procedure is verified by the Kolmogorov--Smirnov test. The
finite mixture of Gumbel distributions that extrapolate the empirical
probability of extreme events has explanatory power at a statistically
significant level.

5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio