A New Multi-Agent Bat Approach for Detecting Community Structure in Social Networks
Subject Areas : Journal of Computer & RoboticsSaeed Alidoost 1 , Behrooz Masoumi 2
1 - Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
2 - Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Keywords:
Abstract :
[1] Latora, V.; Nicosia, V.; Russo, G., Complex networks: principles,methods and applications (2017).
[2] Chen, G.; Wang, X.; Li, X., Fundamentals of complex networks: models, structures and dynamics, John Wiley & Sons (2014).
[3] Reihanian, A.; Feizi-Derakhshi, M.; Aghdasi, H., "Community detection in social networks with node attributes based on multi-objective biogeography based optimization", Engineering Applications of Artificial Intelligence, vol. 62, pp. 51-67 (2017).
[4] Silva, T. C.; Zhao, L., "Machine learning in complex networks", in Springer (2016).
[5] Ghaderi, S.; Abdollahpouri, A.; Moradi, P., "On the modularity improvement for community detection in overlapping social networks", in IEEE - 2016 8th International Symposium on Telecommunications (IST) (2016).
[6] Estrada, E., "Introduction to complex networks: structure and dynamics", in Evolutionary Equations with Applications in Natural Sciences, no. Springer, pp. 93-131 (2015).
[7] Huang, J.; Yang, B.; Jin, D.; Yang, Y., "Decentralized mining social network communities with agents", Mathematical and Computer Modelling - Elsevier, vol. 57, no. 11-12, pp. 2998-3008 (2013).
[8] Girvan, M.; Newman, M. E., "Community structure in social and biological networks", Proceedings of the national academy of sciences, vol. 99, no. 12, pp. 7821-7826 (2002).
[9] Cazabet, R.; Amblard, F., "Simulate to Detect: A Multi-agent System for Community Detection", in IEEE, Lyon, France (2011).
[10] Christian Blum, D. M., Swarm Intelligence: Introduction and Applications (Natural Computing Series), Springer (2008).
[11] Bozorg oáiciga, H. A., "Development and application of the bat algorithm for optimizing the operation of reservoir systems", Journal of Water Resources Planning and Management (2014).
[12] Colin, T., "A comparison of BA, GA, PSO, BP, and LM for training feed forward neural networks in e-learning context", International Journal of Intelligent Systems and Applications, pp. 23-29 (2012).
[13] Lancichinetti, A.; Fortunato, S.; Radicchi, F., "Benchmark graphs for testing community detection algorithms", Physical review E, vol. 78, no. 4, 046110 (2008).
[14] Newman, M. E.; Girvan, M., "Finding and evaluating community structure in networks", Physical review E, vol. 69, no. 2, 026113 (2004).
[15] Pizzuti, C., "GA-Net: A genetic algorithm for community detection in social networks", in International Conference on Parallel Problem Solving from Nature (2008).
[16] Pizzuti, C., "A multi-objective genetic algorithm for community detection in networks", in Tools with Artificial Intelligence 21st International Conference (2009).
[17] Li, Y.; Liu, J.; Liu, C., "A comparative analysis of evolutionary and memetic algorithms for community detection from signed social networks", vol. 18, no. 2, pp. 329-348 (2014).
[18] Li, Z.; Liu, J., "A multi-agent genetic algorithm for community detection in complex networks", Physica A: Statistical Mechanics and its Applications, vol. 449, pp. 336-347 (2016).
[19] Atay, Y.; Koc, I.; Babaoglu, I.; Kodaz, H., "Community Detection from Biological and Social Networks: A Comparative Analysis of Metaheuristic Algorithms", Applied Soft Computing (2016).
[20] Cazabet, R.; Amblard, F., "Simulate to detect: a multi-agent system forc ommunity detection", in IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, Lyon, France (2011).
[21] Hassan, E. A.; Hafez, A. I.; Hassanien, A. E.; Fahmy, A. A., "A Discrete Bat Algorithm for the Community Detection Problem", in International Conference on Hybrid Artificial Intelligence Systems. HAIS 2015. Lecture Notes in Computer Science, vol. 9121. Springer, Cham (2015).
[22] Yang, X. S. , "A new meta heuristic bat-inspired algorithm," Nature inspired cooperative strategies for optimization (NISCO 2010), vol. 284, pp. 65-74, 2010.
[23] Yang, X. S., "Meta-heuristic optimization with applications: Demonstration via bat algorithm", in Proceedings of 5th Bioinspired Optimization Methods and Their Applications (BIOMA2012), Bohinj, Slovenia (2012).
[24] Yang, X. S.; Gandomi, A. H., "Bat algorithm: A novel approach for global engineering optimization", in Engineering Computations (2012).
[25] Koffka, K.; Ashok, S., "A comparison of BA, GA, PSO, BP, and LM for training feed forward neural networks in e-learning context", International Journal of Intelligent Systems and Applications, vol. 7,
p. 23–29 (2012).
[26] Liu, J.; Jing, H.; Tang, Y.Y., "Multi-agent oriented constraint satisfaction", Artificial Intelligence, vol. 136, no. 1, pp. 101-144 (2002).
[27] Park, Y.; Song, M., "A genetic algorithm for clustering problems", in Proceedings of the Third Annual Conference on Genetic Programming, pp. 568–575 (1998).
[28] Wasi Ul Kabir, Md.; Sakib, N.; Mustafizur, S.; Shafiul, M., "A Novel Adaptive Bat Algorithm to Control Explorations and Exploitations for Continuous Optimization Problems", International Journal of Computer Applications (0975 – 8887), vol. 94, no. 13, pp. 15-20 (2014).
[29] Labatut, V., "Generalised measures for the evaluation of community detection methods", International Journal of Social Network Mining, vol. 2, no. 1, pp. 44-63 (2015).
[30] Danon, L.; Diaz-Guilera, A.; Duch, J.; Arenas, A., "Comparing community structure identification", Journal of Statistical Mechanics: Theory and Experiment, no. 9, pp. 219-228 (2005).
