Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Memory in network flows and its effects on spreading dynamics and
  community detection   Random walks on networks is the standard tool for modelling spreading
processes in social and biological systems. This first-order Markov approach is
used in conventional community detection, ranking, and spreading analysis
although it ignores a potentially important feature of the dynamics: where flow
moves to may depend on where it comes from. Here we analyse pathways from
different systems, and while we only observe marginal consequences for disease
spreading, we show that ignoring the effects of second-order Markov dynamics
has important consequences for community detection, ranking, and information
spreading. For example, capturing dynamics with a second-order Markov model
allows us to reveal actual travel patterns in air traffic and to uncover
multidisciplinary journals in scientific communication. These findings were
achieved only by using more available data and making no additional
assumptions, and therefore suggest that accounting for higher-order memory in
network flows can help us better understand how real systems are organized and
function.

14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ