Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Finding a Maximum Clique using Ant Colony Optimization and Particle
  Swarm Optimization in Social Networks   Interaction between users in online social networks plays a key role in
social network analysis. One on important types of social group is full
connected relation between some users, which known as clique structure.
Therefore finding a maximum clique is essential for some analysis. In this
paper, we proposed a new method using ant colony optimization algorithm and
particle swarm optimization algorithm. In the proposed method, in order to
attain better results, it is improved process of pheromone update by particle
swarm optimization. Simulation results on popular standard social network
benchmarks in comparison standard ant colony optimization algorithm are shown a
relative enhancement of proposed algorithm.

13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an