Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Communities unfolding in multislice networks   Discovering communities in complex networks helps to understand the behaviour
of the network. Some works in this promising research area exist, but
communities uncovering in time-dependent and/or multiplex networks has not
deeply investigated yet. In this paper, we propose a communities detection
approach for multislice networks based on modularity optimization. We first
present a method to reduce the network size that still preserves modularity.
Then we introduce an algorithm that approximates modularity optimization (as
usually adopted) for multislice networks, thus finding communities. The network
size reduction allows us to maintain acceptable performances without affecting
the effectiveness of the proposed approach.

9
The categories of this paper are: nlin
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int