Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Community Detection in Complex Networks using Genetic Algorithm   Community structure identification has been an important research topic in
complex networks and there has been many algorithms proposed so far to detect
community structures in complex networks, where most of the algorithms are not
suitable for very large networks because of their time-complexity. Genetic
algorithm for detecting communities in complex networks, which is based on
optimizing network modularity using genetic algorithm, is presented here. It is
scalable to very large networks and does not need any priori knowledge about
number of communities or any threshold value. It has O(e) time-complexity where
e is the number of edges in the network. Its accuracy is tested with the known
Zachary Karate Club and College Football datasets. Enron e-mail dataset is used
for scalability test.

17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys
1
The categories of this paper are: cs
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con