Maximising the Quality of Influence
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[1] A. Rbnyi. ON THE EVOLUTION OF RANDOM GRAPHS , 2001 .
[2] Alexander J. Smola,et al. Support Vector Regression Machines , 1996, NIPS.
[3] Carlos Guestrin,et al. A Note on the Budgeted Maximization of Submodular Functions , 2005 .
[4] B. Schölkopf,et al. A Regularization Framework for Learning from Graph Data , 2004, ICML 2004.
[5] P. Erdos,et al. On the evolution of random graphs , 1984 .
[6] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[7] A. Rapoport,et al. Connectivity of random nets , 1951 .
[8] Fabrice Rossi,et al. Dissemination of Health Information within Social Networks , 2012, ArXiv.
[9] Yi-Min Huang,et al. Weighted support vector machine for classification with uneven training class sizes , 2005, 2005 International Conference on Machine Learning and Cybernetics.
[10] Matthew Richardson,et al. Mining knowledge-sharing sites for viral marketing , 2002, KDD.
[11] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[12] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[13] M. L. Fisher,et al. An analysis of approximations for maximizing submodular set functions—I , 1978, Math. Program..
[14] Elchanan Mossel,et al. Submodularity of Influence in Social Networks: From Local to Global , 2010, SIAM J. Comput..
[15] Reuven Cohen,et al. The Generalized Maximum Coverage Problem , 2008, Inf. Process. Lett..
[16] Jiawei Han,et al. LINKREC: a unified framework for link recommendation with user attributes and graph structure , 2010, WWW '10.
[17] Zan Huang. Link Prediction Based on Graph Topology: The Predictive Value of Generalized Clustering Coefficient , 2010 .
[18] Bernhard Schölkopf,et al. Learning from labeled and unlabeled data on a directed graph , 2005, ICML.
[19] Masahiro Kimura,et al. Prediction of Information Diffusion Probabilities for Independent Cascade Model , 2008, KES.
[20] A. E. Hoerl,et al. Ridge regression: biased estimation for nonorthogonal problems , 2000 .
[21] Alexander Gammerman,et al. Ridge Regression Learning Algorithm in Dual Variables , 1998, ICML.
[22] Stephen Warshall,et al. A Theorem on Boolean Matrices , 1962, JACM.
[23] Éva Tardos,et al. Influential Nodes in a Diffusion Model for Social Networks , 2005, ICALP.
[24] Laks V. S. Lakshmanan,et al. Learning influence probabilities in social networks , 2010, WSDM '10.
[25] Matthew Richardson,et al. Mining the network value of customers , 2001, KDD '01.
[26] George L. Nemhauser,et al. Note--On "Location of Bank Accounts to Optimize Float: An Analytic Study of Exact and Approximate Algorithms" , 1979 .
[27] Paul Erdös,et al. On random graphs, I , 1959 .