Diffusion centrality: A paradigm to maximize spread in social networks
暂无分享,去创建一个
[1] V. S. Subrahmanian,et al. Theory of Generalized Annotated Logic Programming and its Applications , 1992, J. Log. Program..
[2] Laks V. S. Lakshmanan,et al. SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model , 2011, 2011 IEEE 11th International Conference on Data Mining.
[3] George Karypis,et al. METIS and ParMETIS , 2011, Encyclopedia of Parallel Computing.
[4] Mohammad Bakher Naseri,et al. Role of demographics, social connectedness and prior internet experience in adoption of online shopping: Applications for direct marketing , 2011 .
[5] M. A. Beauchamp. AN IMPROVED INDEX OF CENTRALITY. , 1965, Behavioral science.
[6] Masahiro Kimura,et al. Efficient Estimation of Influence Functions for SIS Model on Social Networks , 2009, IJCAI.
[7] Jimeng Sun,et al. Social influence analysis in large-scale networks , 2009, KDD.
[8] Y. Shavitt,et al. An analysis of the Steam community network evolution , 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel.
[9] Ning Chen,et al. On the approximability of influence in social networks , 2008, SODA '08.
[10] T. Schelling. Micromotives and Macrobehavior , 1978 .
[11] Gert Sabidussi,et al. The centrality index of a graph , 1966 .
[12] Judea Pearl,et al. Bayesian Networks , 1998, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..
[13] Éva Tardos,et al. Maximizing the Spread of Influence through a Social Network , 2015, Theory Comput..
[14] Andreas Krause,et al. Cost-effective outbreak detection in networks , 2007, KDD '07.
[15] James A. Hendler,et al. A Method to Rank Nodes in an RDF Graph , 2008, International Semantic Web Conference.
[16] Krishna P. Gummadi,et al. A measurement-driven analysis of information propagation in the flickr social network , 2009, WWW '09.
[17] Anil Nerode,et al. Hybrid Knowledge Bases , 1996, IEEE Trans. Knowl. Data Eng..
[18] Sarit Kraus,et al. Diffusion Centrality in Social Networks , 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
[19] Yao Zhang,et al. Fast influence-based coarsening for large networks , 2014, KDD.
[20] Aristides Gionis,et al. Sparsification of influence networks , 2011, KDD.
[21] Ulrik Brandes,et al. On variants of shortest-path betweenness centrality and their generic computation , 2008, Soc. Networks.
[22] M. McPherson,et al. Birds of a Feather: Homophily in Social Networks , 2001 .
[23] Suh-Yin Lee,et al. Efficient algorithms for influence maximization in social networks , 2012, Knowledge and Information Systems.
[24] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[25] Martin G. Everett,et al. A Graph-theoretic perspective on centrality , 2006, Soc. Networks.
[26] Wei Chen,et al. Scalable influence maximization for independent cascade model in large-scale social networks , 2012, Data Mining and Knowledge Discovery.
[27] G. Sabidussi. The centrality of a graph. , 1966, Psychometrika.
[28] Wei Chen,et al. Scalable influence maximization for prevalent viral marketing in large-scale social networks , 2010, KDD.
[29] P. Bonacich. Factoring and weighting approaches to status scores and clique identification , 1972 .
[30] R. May,et al. Population biology of infectious diseases: Part I , 1979, Nature.
[31] Leonard M. Freeman,et al. A set of measures of centrality based upon betweenness , 1977 .
[32] Debmalya Panigrahi,et al. A general framework for graph sparsification , 2010, STOC '11.
[33] Louiqa Raschid,et al. Graph Summarization in Annotated Data Using Probabilistic Soft Logic , 2012, URSW.
[34] Mark S. Granovetter. Threshold Models of Collective Behavior , 1978, American Journal of Sociology.
[35] Nicola Barbieri,et al. Online Topic-aware Influence Maximization Queries , 2014, EDBT.
[36] Luis E. Ortiz,et al. On influence, stable behavior, and the most influential individuals in networks: A game-theoretic approach , 2013, Artif. Intell..
[37] Gao Cong,et al. Simulated Annealing Based Influence Maximization in Social Networks , 2011, AAAI.
[38] Cristian Molinaro,et al. Using Generalized Annotated Programs to Solve Social Network Diffusion Optimization Problems , 2013, TOCL.
[39] Xiaohui Lu,et al. Local, community and global centrality methods for analyzing networks , 2014, Social Network Analysis and Mining.
[40] Chanhyun Kang,et al. Does Financial Connectedness Predict Crises? , 2013 .
[41] Rami Puzis,et al. Routing betweenness centrality , 2010, JACM.
[42] Hong-Gwa Yeh,et al. Some results on the target set selection problem , 2011, Journal of Combinatorial Optimization.
[43] Éva Tardos,et al. Influential Nodes in a Diffusion Model for Social Networks , 2005, ICALP.
[44] H. Hethcote. Qualitative analyses of communicable disease models , 1976 .
[45] Tomasz P. Michalak,et al. A Centrality Measure for Networks With Community Structure Based on a Generalization of the Owen Value , 2014, ECAI.
[46] Paulo Shakarian,et al. A Scalable Framework for Modeling Competitive Diffusion in Social Networks , 2010, 2010 IEEE Second International Conference on Social Computing.
[47] R. May,et al. Population biology of infectious diseases: Part II , 1979, Nature.
[48] Nicola Barbieri,et al. Topic-aware social influence propagation models , 2012, Knowledge and Information Systems.
[49] Luc De Raedt,et al. Inference and learning in probabilistic logic programs using weighted Boolean formulas , 2013, Theory and Practice of Logic Programming.
[50] L. Freeman. Centrality in social networks conceptual clarification , 1978 .
[51] Damon Centola,et al. The Spread of Behavior in an Online Social Network Experiment , 2010, Science.
[52] Fang Zhou,et al. Compression of weighted graphs , 2011, KDD.
[53] Masahiro Kimura,et al. Extracting Influential Nodes for Information Diffusion on a Social Network , 2007, AAAI.
[54] Ruocheng Guo,et al. Diffusion in Social Networks , 2015, SpringerBriefs in Computer Science.
[55] D. Watts,et al. Viral marketing for the real world , 2007 .
[56] D Shapley. Science foundation. , 1974, Science.
[57] Fang Zhou,et al. Network Compression by Node and Edge Mergers , 2012, Bisociative Knowledge Discovery.
[58] Arun Sundararajan,et al. Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks , 2009, Proceedings of the National Academy of Sciences.
[59] V. S. Subrahmanian,et al. Using Twitter Sentiment to Forecast the 2013 Pakistani Election and the 2014 Indian Election , 2015, IEEE Intelligent Systems.