Table of Contents Author Guidelines Submit a Manuscript
Advances in Multimedia
Volume 2017, Article ID 4821305, 7 pages
https://doi.org/10.1155/2017/4821305
Research Article

Strategies for Growing User Popularity through Retweet: An Empirical Study

Universidad Veracruzana, Artificial Intelligence Research Center, Sebastián Camacho No. 5, 91000 Xalapa, VER, Mexico

Correspondence should be addressed to Yecely Aridaí Díaz-Beristain; moc.liamg@zaid.ylecey

Received 4 February 2017; Accepted 27 February 2017; Published 10 April 2017

Academic Editor: Bryan B. Kim

Copyright © 2017 Yecely Aridaí Díaz-Beristain et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. F. Morstatter, J. Pfeffer, H. Liu, and K. M. Carley, “Is the sample good enough? Comparing data from Twitter's streaming API with Twitter's firehose,” https://arxiv.org/abs/1306.5204.
  2. S. Milstein, B. Lorica, R. Magoulas, G. Hochmuth, A. Chowdhury, and T. O'Reilly, Twitter and the Micro-Messaging Revolution: Communication, Connections, and Immediacy—140 Characters at a Time, O'Reilly Media, 2008.
  3. B. J. Jansen, M. Zhang, K. Sobel, and A. Chowdury, “Micro-blogging as online word of mouth branding,” in Proceedings of the 27th International Conference Extended Abstracts on Human Factors in Computing Systems (CHI '09), pp. 3859–3864, ACM, Boston, Mass, USA, April 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. H. Kwak, C. Lee, H. Park, and S. Moon, “What is Twitter, a social network or a news media?” in Proceedings of the 19th International World Wide Web Conference (WWW '10), pp. 591–600, ACM, Raleigh, NC, USA, April 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. L. Jin, Y. Chen, T. Wang, P. Hui, and A. V. Vasilakos, “Understanding user behavior in online social networks: a survey,” IEEE Communications Magazine, vol. 51, no. 9, pp. 144–150, 2013. View at Publisher · View at Google Scholar · View at Scopus
  6. D. Murthy, “Twitter: microphone for the masses?” Media, Culture and Society, vol. 33, no. 5, pp. 779–789, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. C. Lee, H. Kwak, H. Park, and S. Moon, “Finding influentials based on the temporal order of information adoption in twitter,” in Proceedings of the 19th International Conference on World Wide Web (WWW '10), pp. 1137–1138, ACM, Raleigh, NC, USA, April 2010. View at Publisher · View at Google Scholar
  8. J. Clerk Maxwell, A Treatise on Electricity and Magnetism, vol. 2, Clarendon, Oxford, UK, 3rd edition, 1892.
  9. D. Quercia, J. Ellis, L. Capra, and J. Crowcroft, “In the mood being influential on twitter mood,” in Proceedings of the IEEE International Conference on Privacy, Security, Risk and Trust (PASSAT '11) and IEEE International Conference on Social Computing (SocialCom '11), pp. 307–314, October 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. B. Suh, L. Hong, P. Pirolli, and E. H. Chi, “Want to be retweeted? Large scale analytics on factors impacting retweet in Twitter network,” in Proceedings of the IEEE 2nd International Conference on Social Computing (SocialCom '10), pp. 177–184, August 2010. View at Publisher · View at Google Scholar
  11. I. Foster and C. Kesselman, The Grid: Blueprint for a New Computing Infrastructure, Morgan Kaufmann Publishers, San Francisco, Calif, USA, 1999.
  12. D. Boyd, S. Golder, and G. Lotan, “Tweet, tweet, retweet: conversational aspects of retweeting on twitter,” in Proceedings of the 43rd Hawaii International Conference on System Sciences (HICSS '10), pp. 1–10, IEEE, January 2010. View at Publisher · View at Google Scholar
  13. I. Foster, C. Kesselman, J. Nick, and S. Tuecke, “The physiology of the grid: an open grid services architecture for distributed systems integration,” Tech. Rep., Global Grid Forum, 2002. View at Google Scholar
  14. J. Leskovec, L. A. Adamic, and B. A. Huberman, “The dynamics of viral marketing,” ACM Transactions on the Web (TWEB), vol. 1, no. 1, article 5, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. B. J. Jansen, M. Zhang, K. Sobel, and A. Chowdury, “Twitter power: Tweets as electronic word of mouth,” Journal of the American Society for Information Science and Technology, vol. 60, no. 11, pp. 2169–2188, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. A. De Bruyn and G. L. Lilien, “A multi-stage model of word-of-mouth influence through viral marketing,” International Journal of Research in Marketing, vol. 25, no. 3, pp. 151–163, 2008. View at Publisher · View at Google Scholar · View at Scopus
  17. M. Cha, H. Haddadi, F. Benevenuto, and K. P. Gummadi, “Measuring user influence in twitter: the million follower fallacy,” in Proceedings of the 4th International AAAI Conference on Weblogs and Social Media (ICWSM '10), pp. 10–17, May 2010. View at Scopus
  18. D. M. Romero, W. Galuba, S. Asur, and B. A. Huberman, “Influence and passivity in social media,” in Machine Learning and Knowledge Discovery in Databases, pp. 18–33, Springer, Berlin, Germany, 2011. View at Google Scholar
  19. P. Metaxas, E. Mustafaraj, K. Wong, L. Zeng, M. O'Keefe, and S. Finn, “What do retweets indicate? Results from user survey and meta-review of research,” in Proceedings of the 9th International AAAI Conference on Web and Social Media, Oxford, UK, May 2015.
  20. E. Bakshy, W. A. Mason, J. M. Hofman, and D. J. Watts, “Everyone's an influencer: quantifying influence on twitter,” in Proceedings of the 4th ACM International Conference on Web Search and Data Mining (WSDM '11), pp. 65–74, ACM, February 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. A. Anagnostopoulos, R. Kumar, and M. Mahdian, “Influence and correlation in social networks,” in Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '08), pp. 7–15, ACM, August 2008. View at Publisher · View at Google Scholar · View at Scopus
  22. D. Crandall, D. Cosley, D. Huttenlocher, J. Kleinberg, and S. Suri, “Feedback effects between similarity and social influence in online communities,” in Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '08), pp. 160–168, ACM, Las Vegas, Nev, USA, August 2008. View at Publisher · View at Google Scholar · View at Scopus
  23. M. McPherson, L. Smith-Lovin, and J. M. Cook, “Birds of a feather: homophily in social networks,” Annual Review of Sociology, vol. 27, no. 1, pp. 415–444, 2001. View at Publisher · View at Google Scholar · View at Scopus
  24. J. Weng, E.-P. Lim, J. Jiang, and Q. He, “TwitterRank: finding topic-sensitive influential twitterers,” in Proceedings of the 3rd ACM International Conference on Web Search and Data Mining (WSDM '10), pp. 261–270, ACM, New York, NY, USA, February 2010. View at Publisher · View at Google Scholar · View at Scopus
  25. A. Leavitt, E. Burchard, D. Fisher, and S. Gilbert, “The influentials: new approaches for analyzing influence on twitter,” Web Ecology Project, vol. 4, no. 2, pp. 1–18, 2009. View at Google Scholar
  26. E. M. Rogers, Diffusion of Innovations, Simon and Schuster, 2010.
  27. G. R. Miller and M. Burgoon, “Persuasion research: review and commentary,” Communication Yearbook, vol. 2, pp. 29–47, 1978. View at Google Scholar
  28. J. Brown, A. J. Broderick, and N. Lee, “Word of mouth communication within online communities: conceptualizing the online social network,” Journal of Interactive Marketing, vol. 21, no. 3, pp. 2–20, 2007. View at Publisher · View at Google Scholar · View at Scopus
  29. K. Lee, D. Palsetia, R. Narayanan, M. M. A. Patwary, A. Agrawal, and A. Choudhary, “Twitter trending topic classification,” in Proceedings of the 11th IEEE International Conference on Data Mining Workshops (ICDMW '11), pp. 251–258, IEEE, Vancouver, Canada, December 2011. View at Publisher · View at Google Scholar · View at Scopus
  30. H. W. Lauw, A. Ntoulas, and K. Kenthapadi, “Estimating the quality of postings in the real-time web,” in Proceedings of the 2010 SSM Conference, February 2010.
  31. D. Zarrella, “The science of retweets,” 2009.
  32. R. Page, “The linguistics of self-branding and micro-celebrity in Twitter: the role of hashtags,” Discourse and Communication, vol. 6, no. 2, pp. 181–201, 2012. View at Publisher · View at Google Scholar · View at Scopus
  33. H. C. Chang, “A new perspective on Twitter hashtag use: diffusion of innovation theory,” Proceedings of the American Society for Information Science and Technology, vol. 47, no. 1, pp. 1–4, 2010. View at Google Scholar