Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Inferring hierarchical structure of spatial and generic complex networks
  through a modeling framework   Our recent paper [Grauwin et al. Sci. Rep. 7 (2017)] demonstrates that
community and hierarchical structure of the networks of human interactions
largely determines the least and should be taken into account while modeling
them. In the present proof-of-concept pre-print the opposite question is
considered: could the hierarchical structure itself be inferred to be best
aligned with the network model? The inference mechanism is provided for both -
spatial networks as well as complex networks in general - through a model based
on hierarchical and (if defined) geographical distances. The mechanism allows
to discover hierarchical and community structure at any desired resolution in
complex networks and in particular - the space-independent structure of the
spatial networks. The approach is illustrated on the example of the interstate
people migration network in USA.

12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
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
37
The categories of this paper are: supr-con
16
The categories of this paper are: stat
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
15
The categories of this paper are: nucl-ex
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg