Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Overlapping Community Detection in Complex Networks using Symmetric
  Binary Matrix Factorization   Discovering overlapping community structures is a crucial step to
understanding the structure and dynamics of many networks. In this paper we
develop a symmetric binary matrix factorization model (SBMF) to identify
overlapping communities. Our model allows us not only to assign community
memberships explicitly to nodes, but also to distinguish outliers from
overlapping nodes. In addition, we propose a modified partition density to
evaluate the quality of community structures. We use this to determine the most
appropriate number of communities. We evaluate our methods using both synthetic
benchmarks and real world networks, demonstrating the effectiveness of our
approach.

29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys