A predictive model for the temporal dynamics of information diffusion in online social networks

WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion

Volumn , Issue , 2012, Pages 1145-1152

  Guille, Adrien ^a   Hacid, Hakim ^b  

^a UNIVERSITÉ LUMIÈRE LYON 2   (France)

^b LUCENT TECHNOLOGIES   (United States)

Author keywords

Information diffusion; Machine learning; Online social networks

Indexed keywords

DATA SETS; INDIVIDUAL BEHAVIOR; INFORMATION DIFFUSION; MACROSCOPIC LEVELS; MICROSCOPIC LEVELS; MULTIDIMENSIONAL ANALYSIS; ON-MACHINES; ONLINE SOCIAL NETWORKS; PRACTICAL SOLUTIONS; PREDICTIVE MODELS; SOCIAL NETWORKS; TEMPORAL DYNAMICS; TIME-DEPENDENT DIFFUSION;

INFORMATION DISSEMINATION; LEARNING SYSTEMS; SOCIAL NETWORKING (ONLINE); TOPOLOGY; WORLD WIDE WEB;

DIFFUSION;

EID: 84861068492     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2187980.2188254     Document Type: Conference Paper

References (16)

1. R. Albert and A. L. Barabási. Statistical mechanics of complex networks. Reviews of Modern Physics, 74, 2002.
2. E. Bakshy, J. M. Hofman, W. A. Mason, and D. J. Watts. Everyone's an influencer: quantifying influence on twitter. WSDM'11, 2011.
3. A. Bennamane, H. Hacid, A. Ansiaux, and A. Cagnati. Visual analysis of implicit social networks for suspicious behavior detection. DASFAA'11, 2011.
4. W. Galuba, K. Aberer, D. Chakraborty, Z. Despotovic, and W. Kellerer. Outtweeting the twitterers - predicting information cascades in microblogs. WOSN'10, 2010.
5. J. Goldenberg, B. Libai, and E. Muller. Talk of the network: A complex systems look at the underlying process of word-of-mouth. Marketing Letters, 2001.
6. D. Kempe. Maximizing the spread of influence through a social network. KDD'03, 2003.
7. H. Kwak, C. Lee, H. Park, and S. Moon. What is Twitter, a social network or a news media? WWW'10, 2010.
8. J. Leskovec, L. Backstrom, and J. Kleinberg. Meme-tracking and the dynamics of the news cycle. KDD'09, 2009.
9. J. Leskovec, M. McGlohon, C. Faloutsos, N. Glance, and M. Hurst. Cascading behavior in large blog graphs: Patterns and a model. SDM'07, 2007.
10. T. M. Mitchell. Machine learning. McGraw Hill series in computer science. 1997.
11. M. Nekovee, Y. Moreno, G. Bianconi, and M. Marsili. Theory of rumour spreading in complex social networks. Physica A: Statistical Mechanics and its Applications, 2007.
12. K. Saito, M. Kimura, K. Ohara, and H. Motoda. Selecting information diffusion models over social networks for behavioral analysis. PKDD'10, 2010.
13. D. Wang, Z. Wen, H. Tong, C.-Y. Lin, C. Song, and A.-L. Barabási. Information spreading in context. WWW'11, 2011.
14. J. Yang and S. Counts. Predicting the speed, scale, and range of information diffusion in twitter. ICWSM'10, 2010.
15. J. Yang and J. Leskovec. Modeling information diffusion in implicit networks. ICDM'10, 2010.
16. J. Yang and J. Leskovec. Patterns of temporal variation in online media. WSDM'11, 2011.