The anatomy of large facebook cascades

Proceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013

Volumn , Issue , 2013, Pages 145-154

  Dow, P Alex ^a   Adamic, Lada A ^a   Friggeri, Adrien ^a  

^a FACEBOOK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEPTH DISTRIBUTION; FACEBOOK; NON-TRIVIAL; TIME EVOLUTIONS;

SOCIAL NETWORKING (ONLINE);

EID: 84900411270     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Adamic, L.; Lento, T.; and Fiore, A. 2012. How you met me. In Proc. of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM).
2. Aral, S., and Walker, D. 2011. Creating social contagion through viral product design: A randomized trial of peer influence in networks. Management Science 57(9):1623-1639.
3. Aral, S., and Walker, D. 2012. Identifying influential and susceptible members of social networks. Science 337(6092):337-341.
4. Bakshy, E.; Hofman, J. M.; Mason, W. A.; and Watts, D. J. 2011. Everyone's an influencer: Quantifying influence on Twitter. In Proc. of the 3rd ACM Conference on Web Search and Data Mining (WSDM).
5. Bakshy, E.; Rosenn, I.; Marlow, C.; and Adamic, L. 2012. The role of social networks in information diffusion. In Proc. of the 21st International Conference on World Wide Web (WWW), 519-528. ACM.
6. Bhattacharya, D., and Ram, S. 2012. Sharing news articles using 140 characters: A diffusion analysis on Twitter. In Proc. Advances in Social Networks Analysis and Mining (ASONAM), 966-971.
7. Cha, M.; Haddadi, H.; Benevenuto, F.; and Gummadi, K. P. 2010. Measuring user influence in Twitter: The million follower fallacy. In Proc. of the 4th International AAAI Conference on Weblogs and Social Media (ICWSM), Volume 14, 8.
8. Goel, S.; Watts, D.; and Goldstein, D. 2012. The structure of online diffusion networks. In Proc. of the 13th ACM Conference on Electronic Commerce (EC), 623-638. ACM.
9. Golub, B., and Jackson, M. 2010. Using selection bias to explain the observed structure of Internet diffusions. Proceedings of the National Academy of Sciences 107(24):10833-10836.
10. Gomez-Rodriguez, M.; Leskovec, J.; and Krause, A. 2012. Inferring networks of diffusion and influence. ACM Transactions on Knowledge Discovery from Data (TKDD) 5(4):21.
11. Greg Ver Steeg; Ghosh; Rumi; Lerman; and Kristina. 2011. What stops social epidemics? In Proc. of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM).
12. Leskovec, J.; Adamic, L.; and Huberman, B. 2007. The dynamics of viral marketing. ACM Transactions on the Web (TWEB) 1(1):5.
13. Leskovec, J.; Singh, A.; and Kleinberg, J. 2006. Patterns of influence in a recommendation network. Advances in Knowledge Discovery and Data Mining 380-389.
14. Liben-Nowell, D., and Kleinberg, J. 2008. Tracing information flow on a global scale using internet chain-letter data. Proceedings of the National Academy of Sciences 105(12):4633-4638.
15. Macskassy, S. A., and Michelson, M. 2011. Why do people retweet? Anti-homophily wins the day! In Proc. of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM), 209-216.
16. Milano, D., and Stern, J. 2013. 'One million likes' on Facebook for a puppy, clothing, sex. http://abcnews.go.com/Technology/facebook-million-likes- puppy-bunny-sex-clothing-meme/story?id=18295476. ABC News.
17. Myers, S. A., and Leskovec, J. 2012. Clash of the contagions: Cooperation and competition in information diffusion. In IEEE International Conference on Data Mining (ICDM), 539-548. IEEE.
18. Myers, S. A.; Zhu, C.; and Leskovec, J. 2012. Information diffusion and external influence in networks. In Proc. of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 33-41.
19. Rainie, L., and Smith, A. 2012. Social networking sites and politics. Washington, DC: Pew Internet & American Life Project. Retrieved June 12:2012.
20. Romero, D.; Galuba, W.; Asur, S.; and Huberman, B. 2011. Influence and passivity in social media. Machine Learning and Knowledge Discovery in Databases 18-33.
21. Romero, D. M.; Meeder, B.; and Kleinberg, J. 2011. Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on Twitter. In Proc. of the 20th International Conference on World Wide Web (WWW), 695-704. ACM.
22. Weng, L.; Flammini, A.; Vespignani, A.; and Menczer, F. 2012. Competition among memes in a world with limited attention. Nature Scientific Reports 2(355).
23. Wu, F., and Huberman, B. A. 2007. Novelty and collective attention. Proceedings of the National Academy of Sciences 104(45):17599-17601.