| Prediction of information diffusion probabilities for independent cascade model K Saito, R Nakano, M Kimura International conference on knowledge-based and intelligent information and …, 2008 | 629 | 2008 |
| Tractable models for information diffusion in social networks M Kimura, K Saito European conference on principles of data mining and knowledge discovery …, 2006 | 566 | 2006 |
| Extracting influential nodes for information diffusion on a social network M Kimura, K Saito, R Nakano AAAI 7, 1371-1376, 2007 | 284 | 2007 |
| Blocking links to minimize contamination spread in a social network M Kimura, K Saito, H Motoda ACM Transactions on Knowledge Discovery from Data (TKDD) 3 (2), 1-23, 2009 | 272 | 2009 |
| Extracting influential nodes on a social network for information diffusion M Kimura, K Saito, R Nakano, H Motoda Data Mining and Knowledge Discovery 20, 70-97, 2010 | 254 | 2010 |
| Learning continuous-time information diffusion model for social behavioral data analysis K Saito, M Kimura, K Ohara, H Motoda Advances in Machine Learning: First Asian Conference on Machine Learning …, 2009 | 202 | 2009 |
| Minimizing the spread of contamination by blocking links in a network. M Kimura, K Saito, H Motoda Aaai 8, 1175-1180, 2008 | 162 | 2008 |
| Selecting information diffusion models over social networks for behavioral analysis K Saito, M Kimura, K Ohara, H Motoda Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 143 | 2010 |
| Learning diffusion probability based on node attributes in social networks K Saito, K Ohara, Y Yamagishi, M Kimura, H Motoda Foundations of Intelligent Systems: 19th International Symposium, ISMIS 2011 …, 2011 | 141 | 2011 |
| Super mediator–A new centrality measure of node importance for information diffusion over social network K Saito, M Kimura, K Ohara, H Motoda Information Sciences 329, 985-1000, 2016 | 100 | 2016 |
| Efficient discovery of influential nodes for SIS models in social networks K Saito, M Kimura, K Ohara, H Motoda Knowledge and information systems 30, 613-635, 2012 | 100 | 2012 |
| Homogeneous Einstein metrics on certain Kähler C-spaces M Kimura Recent topics in differential and analytic geometry, 303-320, 1990 | 91 | 1990 |
| Finding influential nodes in a social network from information diffusion data M Kimura, K Saito, R Nakano, H Motoda Social computing and behavioral modeling, 1-8, 2009 | 70 | 2009 |
| Learning dynamical systems by recurrent neural networks from orbits M Kimura, R Nakano Neural Networks 11 (9), 1589-1599, 1998 | 70 | 1998 |
| Behavioral analyses of information diffusion models by observed data of social network K Saito, M Kimura, K Ohara, H Motoda Advances in Social Computing: Third International Conference on Social …, 2010 | 64 | 2010 |
| Efficient estimation of influence functions for SIS model on social networks M Kimura, K Saito, H Motoda Twenty-First International Joint Conference on Artificial Intelligence, 2009 | 63 | 2009 |
| Solving the contamination minimization problem on networks for the linear threshold model M Kimura, K Saito, H Motoda Pacific Rim International Conference on Artificial Intelligence, 977-984, 2008 | 46 | 2008 |
| Learning to predict opinion share in social networks M Kimura, K Saito, K Ohara, H Motoda Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1364-1370, 2010 | 40 | 2010 |
| Discovering influential nodes for SIS models in social networks K Saito, M Kimura, H Motoda International Conference on Discovery Science, 302-316, 2009 | 35 | 2009 |
| Generative models of information diffusion with asynchronous timedelay K Saito, M Kimura, K Ohara, H Motoda Proceedings of 2nd Asian Conference on Machine Learning, 193-208, 2010 | 30 | 2010 |
Hiroshi MotodaOsaka University確認したメール アドレス: ar.sanken.osaka-u.ac.jp
