Social media analytics: Tracking, modeling and predicting the flow of information through networks

Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011

Volumn , Issue , 2011, Pages 277-278

  Leskovec, Jure ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

influence maximization; information cascades; information diffusion; social media analytics; social networks

Indexed keywords

INFLUENCE MAXIMIZATIONS; INFORMATION CASCADES; INFORMATION DIFFUSION; SOCIAL MEDIA; SOCIAL NETWORKS;

DIFFUSION; INFORMATION SERVICES; OPTIMIZATION; WORLD WIDE WEB;

SOCIAL NETWORKING (ONLINE);

EID: 79955143091     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1963192.1963309     Document Type: Conference Paper

References (27)

1. L. A. Adamic and N. Glance. The political blogosphere and the 2004 u.s. election: divided they blog. In LinkKDD '05: Proceedings of the 3rd international workshop on Link discovery, pages 36-43, 2005.
2. L. A. Adamic, J. Zhang, E. Bakshy, and M. S. Ackerman. Knowledge sharing and yahoo answers: everyone knows something. In WWW '08: Proceeding of the 17th international conference on World Wide Web, pages 665-674, New York, NY, USA, 2008. ACM.
3. E. Adar and L. A. Adamic. Tracking information epidemics in blogspace. In Web Intelligence, pages 207-214, 2005.
4. E. Adar, L. Zhang, L. A. Adamic, and R. M. Lukose. Implicit structure and the dynamics of blogspace. In Workshop on the Weblogging Ecosystem, 2004.
5. E. Agichtein, C. Castillo, D. Donato, A. Gionis, and G. Mishne. Finding high quality content in social media, with an application to community-based question answering. In WSDM '08: ACM International Conference on Web Search and Data Minig, pages 183-194, 2008.
6. M. De Choudhury, Y.-R. Lin, H. Sundaram, K. S. Candan, L. Xie, and A. Kelliher. How Does the Data Sampling Strategy Impact the Discovery of Information Diffusion in Social Media? In ICWSM '10: Proceedings of the 4th International AAAI Conference on Weblogs and Social Media, 2010.
7. D. Fisher, M. Smith, and H. T. Welser. You Are Who You Talk To: Detecting Roles in Usenet Newsgroups. In HICSS '06: Proceedings of the 39th Annual Hawaii International Conference on System Sciences, volume 3, page 59b, 2006.
8. E. Gilbert and K. Karahalios. Predicting tie strength with social media. In CHI '09: Proceedings of the 27th international conference on Human factors in computing systems, pages 211-220, New York, NY, USA, 2009. ACM.
9. N. Glance, M. Hurst, K. Nigam, M. Siegler, R. Stockton, and T. Tomokiyo. Deriving marketing intelligence from online discussion. In KDD '05: Proceeding of the 11th ACM SIGKDD international conference on Knowledge discovery in data mining, pages 419-428, 2005.
10. M. Goetz, J. Leskovec, M. Mcglohon, and C. Faloutsos. Modeling blog dynamics. In International Conference on Weblogs and Social Media, May 2009.
11. M. Gomez-Rodriguez, J. Leskovec, and A. Krause. Inferring networks of diffusion and influence. In KDD '10: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 2010.
12. D. Gruhl, R. Guha, R. Kumar, J. Novak, and A. Tomkins. The predictive power of online chatter. In KDD '05: Proceeding of the 11th ACM SIGKDD international conference on Knowledge discovery in data mining, pages 78-87, 2005.
13. D. Gruhl, R. Guha, D. Liben-Nowell, and A. Tomkins. Information diffusion through blogspace. In WWW '04: Proceedings of the 13th international conference on World Wide Web, pages 491-501, 2004.
14. R. Guha, R. Kumar, P. Raghavan, and A. Tomkins. Propagation of trust and distrust. In WWW '04: Proceedings of the 13th international conference on World Wide Web, pages 403-412, 2004.
15. A. Java, X. Song, T. Finin, and B. Tseng. Why we twitter: understanding microblogging usage and communities. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, pages 56-65. ACM, 2007.
16. D. Kempe, J. M. Kleinberg, and E. Tardos. Maximizing the spread of influence through a social network. In KDD '03: Proceedings of the 9th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 137-146, 2003.
17. R. Kumar, J. Novak, P. Raghavan, and A. Tomkins. On the bursty evolution of blogspace. In WWW '02: Proceedings of the 11th international conference on World Wide Web, pages 568-576, 2003.
18. H. Kwak, C. Lee, H. Park, and S. Moon. What is Twitter, a Social Network or a News Media? In WWW'10: Proceedings of the 19th International World Wide Web Conference, April 2010.
19. J. Leskovec, L. Backstrom, and J. Kleinberg. Meme-tracking and the dynamics of the news cycle. In KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 497-506, 2009.
20. J. Leskovec, D. Huttenlocher, and J. Kleinberg. Predicting positive and negative links in online social networks. In WWW '10: Proceedings of the 19th International Conference on World Wide Web, 2010.
21. J. Leskovec, A. Krause, C. Guestrin, C. Faloutsos, J. VanBriesen, and N. Glance. Cost-effective outbreak detection in networks. In KDD '07: Proceeding of the 13th ACM SIGKDD international conference on Knowledge discovery in data mining, 2007.
22. J. Leskovec, M. McGlohon, C. Faloutsos, N. Glance, and M. Hurst. Cascading behavior in large blog graphs. In SDM '07: Proceedings of the SIAM Conference on Data Mining, 2007.
23. J. Leskovec, A. Singh, and J. M. Kleinberg. Patterns of influence in a recommendation network. In PAKDD '06: Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 380-389, 2006.
24. S. Myers and J. Leskovec. On the convexity of latent social network inference. In NIPS '10: Advances in Neural Information Processing Systems, 2010.
25. S. Sadikov, M. Medina, J. Leskovec, and H. Garcia-Molina. Correcting for missing data in information cascades. In WSDM '11: ACM International Conference on Web Search and Data Minig, 2011.
26. J. Yang and Leskovec. Modeling information diffusion in implicit networks. In ICDM '10: IEEE International Conference On Data Mining, 2010.
27. J. Yang and Leskovec. Patterns of temporal variation in online media. In WSDM '11: ACM International Conference on Web Search and Data Minig, 2011.