Influence maximization in social networks based on discrete particle swarm optimization
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Maoguo Gong | Bo Shen | Qing Cai | Lijia Ma | Jianan Yan | Qing Cai | Maoguo Gong | Lijia Ma | Bo Shen | Jianan Yan
[1] Xin Wang,et al. Friend recommendation with content spread enhancement in social networks , 2015, Inf. Sci..
[2] He Jiang,et al. New Insights Into Diversification of Hyper-Heuristics , 2014, IEEE Transactions on Cybernetics.
[3] Jing J. Liang,et al. Niching particle swarm optimization with local search for multi-modal optimization , 2012, Inf. Sci..
[4] Filippo Menczer,et al. Virality Prediction and Community Structure in Social Networks , 2013, Scientific Reports.
[5] M. Friedman. The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance , 1937 .
[6] Jong-Ryul Lee,et al. A Query Approach for Influence Maximization on Specific Users in Social Networks , 2015, IEEE Transactions on Knowledge and Data Engineering.
[7] Mark S. Granovetter. Threshold Models of Collective Behavior , 1978, American Journal of Sociology.
[8] Maoguo Gong,et al. Enhancing robustness of coupled networks under targeted recoveries , 2015, Scientific Reports.
[9] Maoguo Gong,et al. Discrete particle swarm optimization for high-order graph matching , 2016, Inf. Sci..
[10] Lei Xie,et al. Minimizing the expected complete influence time of a social network , 2010, Inf. Sci..
[11] Raymond Chiong,et al. Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms , 2015, Inf. Sci..
[12] Gao Cong,et al. Simulated Annealing Based Influence Maximization in Social Networks , 2011, AAAI.
[13] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.
[14] Matthew Richardson,et al. Mining the network value of customers , 2001, KDD '01.
[15] Maoguo Gong,et al. Discrete particle swarm optimization for identifying community structures in signed social networks , 2014, Neural Networks.
[16] Cameron Marlow,et al. A 61-million-person experiment in social influence and political mobilization , 2012, Nature.
[17] M E J Newman,et al. Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[18] S. Holm. A Simple Sequentially Rejective Multiple Test Procedure , 1979 .
[19] Yue Shi,et al. A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[20] Sergey Brin,et al. Reprint of: The anatomy of a large-scale hypertextual web search engine , 2012, Comput. Networks.
[21] David Kempe,et al. Stability of influence maximization , 2014, KDD.
[22] Maoguo Gong,et al. Greedy discrete particle swarm optimization for large-scale social network clustering , 2015, Inf. Sci..
[23] Weili Wu,et al. Influence Diffusion in Social Networks , 2014 .
[24] Christos Faloutsos,et al. Graph evolution: Densification and shrinking diameters , 2006, TKDD.
[25] Rong Zheng,et al. On Budgeted Influence Maximization in Social Networks , 2012, IEEE Journal on Selected Areas in Communications.
[26] Jun Zhang,et al. Competitive and cooperative particle swarm optimization with information sharing mechanism for global optimization problems , 2015, Inf. Sci..
[27] Suh-Yin Lee,et al. CIM: Community-Based Influence Maximization in Social Networks , 2014, TIST.
[28] Yicheng Zhang,et al. Identifying influential nodes in complex networks , 2012 .
[29] Jacob Goldenberg,et al. Using Complex Systems Analysis to Advance Marketing Theory Development , 2001 .
[30] Hernán A. Makse,et al. Influence maximization in complex networks through optimal percolation , 2015, Nature.
[31] Éva Tardos,et al. Maximizing the Spread of Influence through a Social Network , 2015, Theory Comput..
[32] Xiaodong Li,et al. Swarm Intelligence in Optimization , 2008, Swarm Intelligence.
[33] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[34] Jukka-Pekka Onnela,et al. Spontaneous emergence of social influence in online systems , 2009, Proceedings of the National Academy of Sciences.
[35] Russell C. Eberhart,et al. A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
[36] Francisco Herrera,et al. A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization , 2009, J. Heuristics.
[37] Ciro Cattuto,et al. What's in a crowd? Analysis of face-to-face behavioral networks , 2010, Journal of theoretical biology.
[38] Russell C. Eberhart,et al. Guest Editorial Special Issue on Particle Swarm Optimization , 2004, IEEE Trans. Evol. Comput..
[39] Laks V. S. Lakshmanan,et al. CELF++: optimizing the greedy algorithm for influence maximization in social networks , 2011, WWW.
[40] Ali Moeini,et al. A fast algorithm for finding most influential people based on the linear threshold model , 2015, Expert Syst. Appl..
[41] Yu Wang,et al. Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method , 2015, IEEE Transactions on Parallel and Distributed Systems.
[42] Francisco Herrera,et al. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms , 2011, Swarm Evol. Comput..
[43] Han Zhao,et al. Identifying influential nodes in complex networks with community structure , 2013, Knowl. Based Syst..
[44] Christian Blum,et al. Swarm Intelligence: Introduction and Applications , 2008, Swarm Intelligence.
[45] Harry Eugene Stanley,et al. Catastrophic cascade of failures in interdependent networks , 2009, Nature.
[46] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[47] R. Iman,et al. Approximations of the critical region of the fbietkan statistic , 1980 .
[48] Andreas Krause,et al. Cost-effective outbreak detection in networks , 2007, KDD '07.
[49] Leslie A. DeChurch,et al. Integrating social networks and human social motives to achieve social influence at scale , 2014, Proceedings of the National Academy of Sciences.
[50] Yao Zhang,et al. Estimate on Expectation for Influence Maximization in Social Networks , 2010, PAKDD.
[51] Wei Chen,et al. Scalable influence maximization for prevalent viral marketing in large-scale social networks , 2010, KDD.
[52] Jie Zhang,et al. A Budget Optimization Framework for Search Advertisements Across Markets , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[53] M. Newman,et al. Finding community structure in networks using the eigenvectors of matrices. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[54] Bin Wu,et al. Maximizing the spread of influence ranking in social networks , 2014, Inf. Sci..
[55] Dong Xu,et al. Influence Spreading Path and Its Application to the Time Constrained Social Influence Maximization Problem and Beyond , 2014, IEEE Transactions on Knowledge and Data Engineering.
[56] Wei Chen,et al. Efficient influence maximization in social networks , 2009, KDD.
[57] Masahiro Kimura,et al. Super mediator - A new centrality measure of node importance for information diffusion over social network , 2016, Inf. Sci..
[58] Riccardo Zecchina,et al. Containing epidemic outbreaks by message-passing techniques , 2013, ArXiv.
[59] Yu Wang,et al. Community-based greedy algorithm for mining top-K influential nodes in mobile social networks , 2010, KDD.
[60] I. N. A. C. I. J. H. Fowler. Book Review: Connected: The surprising power of our social networks and how they shape our lives. , 2009 .
[61] Ricardo Llano-González. Fowler, J. & Christakis, N. (2009). Connected: the surprising power of our social networks and how they shape our lives. New York: Little, Brown and Company. , 2012 .
[62] Zhiming Zheng,et al. Searching for superspreaders of information in real-world social media , 2014, Scientific Reports.
[63] Yiwen Sun,et al. Three-dimensional Gabor feature extraction for hyperspectral imagery classification using a memetic framework , 2015, Inf. Sci..
[64] Sankar K. Pal,et al. Deprecation based greedy strategy for target set selection in large scale social networks , 2015, Inf. Sci..
[65] He Jiang,et al. Solving the Large Scale Next Release Problem with a Backbone-Based Multilevel Algorithm , 2012, IEEE Transactions on Software Engineering.
[66] Zhen Ji,et al. A multi-objective memetic algorithm based on locality-sensitive hashing for one-to-many-to-one dynamic pickup-and-delivery problem , 2016, Inf. Sci..