How to cite this paper
Ghazanfari, M & Mohebiju, E. (2020). An overlapping community detection algorithm based on local community and information flow expansion (LCFE) in weighted directed networks.Decision Science Letters , 9(4), 547-558.
Refrences
Arenas, A., Duch, J., Fernández, A., & Gómez, S. (2007). Size reduction of complex networks preserving modularity. New Journal of Physics, 9.
Badiee, A., & Ghazanfari, M. (2018). A monopoly pricing model for diffusion maximization based on heterogeneous nodes and negative network externalities (Case study: A novel product). Decision Science Letters, 7(3), 287-300.
Carley, K. (1991). A theory of group stability. American Sociological Review, 56(3), 331-354. doi:10.2307/2096108
Clemente, G. P., & Grassi, R. (2018). Directed clustering in weighted networks: A new perspective. Chaos, Solitons & Fractals, 107, 26-38.
Dugué, N., & Perez, A. (2015). Directed Louvain : maximizing modularity in directed networks.
Gao, S., Liu, R., & Miao, H. (2018, 28-30 July 2018). A Gamma-Poisson Block Model for Community Detection in Directed Network. Paper presented at the 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).
Girvan, M., & Newman, M. E. (2002). Community structure in social and biological networks. Proceedings of the national academy of sciences, 99(12), 7821-7826.
Guimerà, R., Sales-Pardo, M., & Amaral, L. A. N. (2007). Module identification in bipartite and directed networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 76(3). doi:10.1103/PhysRevE.76.036102
Kalantari, H., Ghazanfari, M., Fathian, M., & Shahanaghi, K. (2020). Multi-objective optimization model in a heterogeneous weighted network through key nodes identification in overlapping communities. Computers & Industrial Engineering, 144, 106413.
Kermani, M. A. M. A., Badiee, A., Aliahmadi, A., Ghazanfari, M., & Kalantari, H. (2016). Introducing a procedure for developing a novel centrality measure (Sociability Centrality) for social networks using TOPSIS method and genetic algorithm. Computers in Human Behavior, 56, 295-305.
Kim, Y., Son, S. W., & Jeong, H. (2010). Finding communities in directed networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 81(1). doi:10.1103/PhysRevE.81.016103
Lai, D., Lu, H., & Nardini, C. (2010a). Extracting weights from edge directions to find communities in directed networks. Journal of Statistical Mechanics: Theory and Experiment, 2010(6). doi:10.1088/1742-5468/2010/06/P06003
Lai, D., Lu, H., & Nardini, C. (2010b). Finding communities in directed networks by PageRank random walk induced network embedding. Physica A: Statistical Mechanics and its Applications, 389(12), 2443-2454. doi:10.1016/j.physa.2010.02.014
Lancichinetti, A., & Fortunato, S. (2009). Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities. Physical review. E, Statistical, nonlinear, and soft matter physics, 80, 016118. doi:10.1103/PhysRevE.80.016118
Lancichinetti, A., Radicchi, F., Ramasco, J. J., & Fortunato, S. (2011). Finding statistically significant communities in networks. PloS one, 6(4), e18961-e18961. doi:10.1371/journal.pone.0018961
Leicht, E. A., & Newman, M. E. J. (2008). Community structure in directed networks. Physical Review Letters, 100(11). doi:10.1103/PhysRevLett.100.118703
Liu, H., Qin, X., Yun, H., & Wu, Y. (2011, 2011//). A Community Detecting Algorithm in Directed Weighted Networks. Paper presented at the Electrical Engineering and Control, Berlin, Heidelberg.
Long, H., & Li, B. (2017). Overlapping Community Identification Algorithm in Directed Network. Procedia Computer Science, 107, 527-532. doi:https://doi.org/10.1016/j.procs.2017.03.105
Malliaros, F. D., & Vazirgiannis, M. (2013). Clustering and community detection in directed networks: A survey. Physics reports, 533(4), 95-142. doi:10.1016/j.physrep.2013.08.002
Mathias, S. B. B. R. P., Rosset, V., & Nascimento, M. C. V. (2016). Community Detection by Consensus Genetic-based Algorithm for Directed Networks. Procedia Computer Science, 96, 90-99.
Newman, M. E. J., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 69(2 2), 026113-026111-026113-026115. doi:10.1103/PhysRevE.69.026113
Nguyen, N. P., Dinh, T. N., Nguyen, D. T., & Thai, M. T. (2011, 9-11 Oct. 2011). Overlapping Community Structures and Their Detection on Social Networks. Paper presented at the 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing.
Osaba, E., Del Ser, J., Camacho, D., Galvez, A., Iglesias, A., Fister, I., & Fister, I. (2018, 2018//). Community Detection in Weighted Directed Networks Using Nature-Inspired Heuristics. Paper presented at the Intelligent Data Engineering and Automated Learning – IDEAL 2018, Cham.
Santos, C. P., Carvalho, D. M., & Nascimento, M. C. V. (2016). A consensus graph clustering algorithm for directed networks. Expert Systems with Applications, 54, 121-135.
Sathiyakumari, K., & Vijaya, M. S. (2018, 2018//). Identification of Subgroups in a Directed Social Network Using Edge Betweenness and Random Walks. Paper presented at the Smart Computing and Informatics, Singapore.
Satuluri, V., & Parthasarathy, S. (2011). Symmetrizations for clustering directed graphs. Paper presented at the ACM International Conference Proceeding Series.
Tosyali, A., Kim, J., Choi, J., & Jeong, M. K. (2019). Regularized asymmetric nonnegative matrix factorization for clustering in directed networks. Pattern Recognition Letters, 125, 750-757.
Xing, Y., Fanrong, M., Yong, Z., & Ranran, Z. (2015). Overlapping Community Detection by Local Community Expansion. Journal of Information Science and Engineering, 31, 1213-1232.
Zhou, D., Huang, J., & Schölkopf, B. (2005). Learning from labeled and unlabeled data on a directed graph. Proceedings of the 22nd International Conference on Machine Learning, 1036-1043.
Zhou, D., Schölkopf, B., & Hofmann, T. (2005). Semi-supervised learning on directed graphs. Advances in Neural Information Processing Systems, 1633-1640.
Zhou, X., Liu, Y., Zhang, J., Liu, T., & Zhang, D. (2015). An ant colony based algorithm for overlapping community detection in complex networks. Physica A: Statistical Mechanics and its Applications, 427, 289-301
Badiee, A., & Ghazanfari, M. (2018). A monopoly pricing model for diffusion maximization based on heterogeneous nodes and negative network externalities (Case study: A novel product). Decision Science Letters, 7(3), 287-300.
Carley, K. (1991). A theory of group stability. American Sociological Review, 56(3), 331-354. doi:10.2307/2096108
Clemente, G. P., & Grassi, R. (2018). Directed clustering in weighted networks: A new perspective. Chaos, Solitons & Fractals, 107, 26-38.
Dugué, N., & Perez, A. (2015). Directed Louvain : maximizing modularity in directed networks.
Gao, S., Liu, R., & Miao, H. (2018, 28-30 July 2018). A Gamma-Poisson Block Model for Community Detection in Directed Network. Paper presented at the 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).
Girvan, M., & Newman, M. E. (2002). Community structure in social and biological networks. Proceedings of the national academy of sciences, 99(12), 7821-7826.
Guimerà, R., Sales-Pardo, M., & Amaral, L. A. N. (2007). Module identification in bipartite and directed networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 76(3). doi:10.1103/PhysRevE.76.036102
Kalantari, H., Ghazanfari, M., Fathian, M., & Shahanaghi, K. (2020). Multi-objective optimization model in a heterogeneous weighted network through key nodes identification in overlapping communities. Computers & Industrial Engineering, 144, 106413.
Kermani, M. A. M. A., Badiee, A., Aliahmadi, A., Ghazanfari, M., & Kalantari, H. (2016). Introducing a procedure for developing a novel centrality measure (Sociability Centrality) for social networks using TOPSIS method and genetic algorithm. Computers in Human Behavior, 56, 295-305.
Kim, Y., Son, S. W., & Jeong, H. (2010). Finding communities in directed networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 81(1). doi:10.1103/PhysRevE.81.016103
Lai, D., Lu, H., & Nardini, C. (2010a). Extracting weights from edge directions to find communities in directed networks. Journal of Statistical Mechanics: Theory and Experiment, 2010(6). doi:10.1088/1742-5468/2010/06/P06003
Lai, D., Lu, H., & Nardini, C. (2010b). Finding communities in directed networks by PageRank random walk induced network embedding. Physica A: Statistical Mechanics and its Applications, 389(12), 2443-2454. doi:10.1016/j.physa.2010.02.014
Lancichinetti, A., & Fortunato, S. (2009). Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities. Physical review. E, Statistical, nonlinear, and soft matter physics, 80, 016118. doi:10.1103/PhysRevE.80.016118
Lancichinetti, A., Radicchi, F., Ramasco, J. J., & Fortunato, S. (2011). Finding statistically significant communities in networks. PloS one, 6(4), e18961-e18961. doi:10.1371/journal.pone.0018961
Leicht, E. A., & Newman, M. E. J. (2008). Community structure in directed networks. Physical Review Letters, 100(11). doi:10.1103/PhysRevLett.100.118703
Liu, H., Qin, X., Yun, H., & Wu, Y. (2011, 2011//). A Community Detecting Algorithm in Directed Weighted Networks. Paper presented at the Electrical Engineering and Control, Berlin, Heidelberg.
Long, H., & Li, B. (2017). Overlapping Community Identification Algorithm in Directed Network. Procedia Computer Science, 107, 527-532. doi:https://doi.org/10.1016/j.procs.2017.03.105
Malliaros, F. D., & Vazirgiannis, M. (2013). Clustering and community detection in directed networks: A survey. Physics reports, 533(4), 95-142. doi:10.1016/j.physrep.2013.08.002
Mathias, S. B. B. R. P., Rosset, V., & Nascimento, M. C. V. (2016). Community Detection by Consensus Genetic-based Algorithm for Directed Networks. Procedia Computer Science, 96, 90-99.
Newman, M. E. J., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 69(2 2), 026113-026111-026113-026115. doi:10.1103/PhysRevE.69.026113
Nguyen, N. P., Dinh, T. N., Nguyen, D. T., & Thai, M. T. (2011, 9-11 Oct. 2011). Overlapping Community Structures and Their Detection on Social Networks. Paper presented at the 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing.
Osaba, E., Del Ser, J., Camacho, D., Galvez, A., Iglesias, A., Fister, I., & Fister, I. (2018, 2018//). Community Detection in Weighted Directed Networks Using Nature-Inspired Heuristics. Paper presented at the Intelligent Data Engineering and Automated Learning – IDEAL 2018, Cham.
Santos, C. P., Carvalho, D. M., & Nascimento, M. C. V. (2016). A consensus graph clustering algorithm for directed networks. Expert Systems with Applications, 54, 121-135.
Sathiyakumari, K., & Vijaya, M. S. (2018, 2018//). Identification of Subgroups in a Directed Social Network Using Edge Betweenness and Random Walks. Paper presented at the Smart Computing and Informatics, Singapore.
Satuluri, V., & Parthasarathy, S. (2011). Symmetrizations for clustering directed graphs. Paper presented at the ACM International Conference Proceeding Series.
Tosyali, A., Kim, J., Choi, J., & Jeong, M. K. (2019). Regularized asymmetric nonnegative matrix factorization for clustering in directed networks. Pattern Recognition Letters, 125, 750-757.
Xing, Y., Fanrong, M., Yong, Z., & Ranran, Z. (2015). Overlapping Community Detection by Local Community Expansion. Journal of Information Science and Engineering, 31, 1213-1232.
Zhou, D., Huang, J., & Schölkopf, B. (2005). Learning from labeled and unlabeled data on a directed graph. Proceedings of the 22nd International Conference on Machine Learning, 1036-1043.
Zhou, D., Schölkopf, B., & Hofmann, T. (2005). Semi-supervised learning on directed graphs. Advances in Neural Information Processing Systems, 1633-1640.
Zhou, X., Liu, Y., Zhang, J., Liu, T., & Zhang, D. (2015). An ant colony based algorithm for overlapping community detection in complex networks. Physica A: Statistical Mechanics and its Applications, 427, 289-301