Community mining on dynamic weighted directed graphs
Proceedings of the 1st ACM international workshop on Complex networks meet information & knowledge management
Guiding users within trust networks using swarm algorithms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A novel algorithm for hierarchical community structure detection in complex networks
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Adaptable swarm intelligence framework
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
A multiobjective hybrid evolutionary algorithm for clustering in social networks
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
A posteriori approach for community detection
Journal of Computer Science and Technology - Special issue on Community Analysis and Information Recommendation
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
A multiobjective evolutionary programming framework for graph-based data mining
Information Sciences: an International Journal
Community Detection in Complex Networks: Multi-objective Enhanced Firefly Algorithm
Knowledge-Based Systems
Evaluating community detection using a bi-objective optimization
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
Hi-index | 0.00 |
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense intra-connections, and sparse inter-connections. The variation operators employed are suitably adapted to take into account the actual links among the nodes. These modified operators makes the method efficient because the space of possible solutions is sensibly reduced. Experiments on a real life network show the capability of the method to successfully identify the network structure.