Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Latent heterogeneous multilayer community detection   We propose a method for simultaneously detecting shared and unshared
communities in heterogeneous multilayer weighted and undirected networks. The
multilayer network is assumed to follow a generative probabilistic model that
takes into account the similarities and dissimilarities between the
communities. We make use of a variational Bayes approach for jointly inferring
the shared and unshared hidden communities from multilayer network
observations. We show that our approach outperforms state-of-the-art algorithms
in detecting disparate (shared and private) communities on synthetic data as
well as on real genome-wide fibroblast proliferation dataset.

18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th