Abstract:
Community detection (CD) plays an important role in
analyzing social network features and helping to find out
valuable hidden information. Many research algorithms
have been proposed to find the best community in the
network. But it has many challenges such as scalability
and time complexity. This paper proposes a new
algorithm, Artificial Bee Colony Algorithm with Genetic
Operator (ABCGO) that combines crossover and
mutation operators with Artificial Bee Colony algorithm.
This paper takes modularity Q as objective function.
Compared with five state-of-art algorithms, results on
real world networks reflect the effectiveness of ABCGO
