Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Maximum entropy approaches for the study of triadic motifs in the
  Mergers & Acquisitions network   In the past years statistical physics has been successfully applied for
complex networks modelling. In particular, it has been shown that the maximum
entropy principle can be exploited in order to construct graph ensembles for
real-world networks which maximize the randomness of the graph structure
keeping fixed some topological constraint. Such ensembles can be used as null
models to detect statistically significant structural patterns and to
reconstruct the network structure in cases of incomplete information. Recently,
these randomizing methods have been used for the study of self-organizing
systems in economics and finance, such as interbank and world trade networks,
in order to detect topological changes and, possibly, early-warning signals for
the economical crisis. In this work we consider the configuration models with
different constraints for the network of mergers and acquisitions (M&As),
Comparing triadic and dyadic motifs, for both the binary and weighted M&A
network, with the randomized counterparts can shed light on its organization at
higher order level.

36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
1
The categories of this paper are: cs
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph