what-when-how
In Depth Tutorials and Information
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59. E. Adar, L.A. Adamic. Tracking information epidemics in blogspace. Proceedings
of the IEEE/WIC/ACM International Conference on Web Intelligence (2005), pp.
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60. Jennifer Wortman. Viral Marketing and the Diffusion of Trends on Social Networks.
Department of Computer & Information Science Technical Reports (CIS). University
of Pennsylvania, PA, 2008.
61. Xiaojun Wan, Jianwu Yang. Learning information diffusion process on the Web.
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Canada, pp. 1173-1174.
62. Jure Leskovec, Ajit Singh, Jon Kleinberg. Patterns of influence in a recommendation
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63. Xiaodan Song, Belle L. Tseng, Ching-Yung Lin et al. Personalized recommendation
driven by Information low. Proceedings of the 29th Annual International ACM
SIGIR Conference on Research and development in Information Retrieval (SIGIR
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64. J. Kleinberg. Temporal dynamics of on-line information streams. In Data Stream
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66. Munmun De Choudhury, Hari Sundaram, Ajita John et al. Contextual prediction
of communication low in social networks. Proceedings of the IEEE/WIC/ACM
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67. Munmun De Choudhury, Hari Sundaram, Ajita John et al. Dynamic prediction of
communication low using social context. Proceedings of the 19th ACM Conference
on Hypertext and Hypermedia. Pittsburgh, PA, pp. 49-54.
68. D. Kempe, J. Kleinberg, E. Tardos. Maximizing the spread of influence through a
social network. Proceedings of the 9th ACM SIGKDD International Conference on
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69. M. Kimura, K. Saito. Tractable Models for Information Diffusion in Social Networks.
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70. Kazumi Saito, Ryohei Nakano, Masahiro Kimura. Prediction of information diffusion
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72. Marti A. Hearst, Matthew Hurst, Susan T. Dumais. Modeling trust and influence on
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73. Xiaodan Song, Yun Chi, Koji Hino. Information low modeling based on diffusion
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