Predicting trending messages and diffusion participants in microblogging network

SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2014, Pages 537-546

  Bian, Jingwen ^a   Yang, Yang ^a,b   Chua, Tat Seng ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Diffusion prediction; Social influence analysis; Social network

Indexed keywords

DATA PROCESSING; FORECASTING; INFORMATION RETRIEVAL; SOCIAL NETWORKING (ONLINE);

DEVASTATING EFFECTS; IMPORTANT FEATURES; INFORMATION DIFFUSION; MICRO-BLOGGING SERVICES; PREDICTION MODEL; SOCIAL INFLUENCE; STATE-OF-THE-ART APPROACH; USER'S INTENTIONS;

ECONOMIC AND SOCIAL EFFECTS;

EID: 84904572119     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2600428.2609616     Document Type: Conference Paper

References (29)

1. A. Anagnostopoulos, R. Kumar, and M. Mahdian. Influence and correlation in social networks. In SIGKDD, pages 7-15, 2008.
2. E. Bakshy, J. M. Hofman, W. A. Mason, and D. J. Watts. Everyone?s an influencer: quantifying influence on twitter. In WSDM, pages 65-74, 2011.
3. J. Bian, Y. Yang, and T.-S. Chua. Multimedia summarization for trending topics in microblogs. In CIKM, pages 1807-1812, 2013.
4. M. Cha, H. Haddadi, F. Benevenuto, and P. K. Gummadi. Measuring user influence in twitter: The million follower fallacy. ICWSM, 10:10-17, 2010.
5. W. Chen, C. Wang, and Y. Wang. Scalable influence maximization for prevalent viral marketing in large-scale social networks. In SIGKDD, pages 1029-1038, 2010.
6. W. Chen, Y. Wang, and S. Yang. Efficient influence maximization in social networks. In SIGKDD, pages 199-208, 2009.
7. Y. Chen, H. Amiri, Z. Li, and T.-S. Chua. Emerging topic detection for organizations from microblogs. In SIGIR, pages 43-52, 2013.
8. T.-S. Chua, H. Luan, M. Sun, and S. Yang. Next: Nus-tsinghua center for extreme search of user-generated content. IEEE MultiMedia, 19(3):81-87, 2012.
9. P. Cui, S. Jin, L. Yu, F. Wang, W. Zhu, and S. Yang. Cascading outbreak prediction in networks: a data-driven approach. In SIGKDD, pages 901-909, 2013.
10. 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, 12(3):211-223, 2001.
11. A. Goyal, F. Bonchi, and L. V. Lakshmanan. Learning influence probabilities in social networks. In WSDM, pages 241-250, 2010.
12. A. Goyal, F. Bonchi, and L. V. Lakshmanan. A data-based approach to social influence maximization. PVLDB, 5(1):73-84, 2011.
13. D. Gruhl, R. Guha, D. Liben-Nowell, and A. Tomkins. Information diffusion through blogspace. In WWW, pages 491-501, 2004.
14. A. Guille, H. Hacid, C. Favre, and D. A. Zighed. Information diffusion in online social networks: A survey. SIGMOD Record, 42(2):17, 2013.
15. L. Hong, O. Dan, and B. D. Davison. Predicting popular messages in twitter. In WWW, pages 57-58, 2011.
16. D. Kempe, J. Kleinberg, and E. Tardos. Maximizing the spread of influence through a social network. In SIGKDD, pages 137-146, 2003.
17. F. R. Kschischang, B. J. Frey, and H.-A. Loeliger. Factor graphs and the sum-product algorithm. TIT, 47(2):498-519, 2001.
18. R. Kumar, J. Novak, P. Raghavan, and A. Tomkins. On the bursty evolution of blogspace. WWW, 8(2):159-178, 2005.
19. T. La Fond and J. Neville. Randomization tests for distinguishing social influence and homophily effects. In WWW, pages 601-610, 2010.
20. J. Leskovec, A. Krause, C. Guestrin, C. Faloutsos, J. VanBriesen, and N. Glance. Cost-effective outbreak detection in networks. In SIGKDD, pages 420-429, 2007.
21. S. J. Pan, I. W. Tsang, J. T. Kwok, and Q. Yang. Domain adaptation via transfer component analysis. TNN, 22(2):199-210, 2011.
22. C. Tan, J. Tang, J. Sun, Q. Lin, and F. Wang. Social action tracking via noise tolerant time-varying factor graphs. In SIGKDD, pages 1049-1058, 2010.
23. J. Tang, W. Sen, and J. Sun. Confluence: conformity influence in large social networks. In SIGKDD, pages 347-355, 2013.
24. J. Tang, J. Sun, C. Wang, and Z. Yang. Social influence analysis in large-scale networks. In SIGKDD, pages 807-816, 2009.
25. Z. Wen and W. Yin. A feasible method for optimization with orthogonality constraints. Mathematical Programming, pages 1-38, 2013.
26. J. Weng, E.-P. Lim, J. Jiang, and Q. He. Twitterrank: finding topic-sensitive influential twitterers. In WSDM, pages 261-270, 2010.
27. R. Xiang, J. Neville, and M. Rogati. Modeling relationship strength in online social networks. In WWW, pages 981-990, 2010.
28. Y. Yang, Y. Yang, Z. Huang, H. T. Shen, and F. Nie. Tag localization with spatial correlations and joint group sparsity. In CVPR, pages 881-888, 2011.
29. Y. Yang, Y. Yang, and H. T. Shen. Effective transfer tagging from image to video. TOMCCAP, 9(2):14, 2013.