Rolling through tumblr: Characterizing behavioral patterns of the microblogging platform

WebSci 2014 - Proceedings of the 2014 ACM Web Science Conference

Volumn , Issue , 2014, Pages 13-22

  Xu, Jiejun ^a   Compton, Ryan ^a   Lu, Tsai Ching ^a   Allen, David ^a  

^a Hughes Aircraft Co   (United States)

Author keywords

Location based patterns; Online social network; Quantitative methods; Tumblr

Indexed keywords

LOCATION BASED; MICRO-BLOGGING PLATFORMS; ON-LINE SOCIAL NETWORKS; QUANTITATIVE METHOD; SOCIAL MEDIA PLATFORMS; SOCIAL MEDIA WEBSITES; TUMBLR; USER-GENERATED CONTENT;

EID: 84904503932     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2615569.2615694     Document Type: Conference Paper

References (36)

1. Tumblr oficial page. http://www.tumblr.com/about. Accessed: 2014-02-20.
2. J. Alstott, E. Bullmore, and D. Plenz. powerlaw: a python package for analysis of heavy-Tailed distributions. PLoS ONE 9(1): e85777, 2013.
3. S. Asur and B. A. Huberman. Predicting the future with social media. CoRR, abs/1003.5699, 2010.
4. L. Backstrom, P. Boldi, M. Rosa, J. Ugander, and S. Vigna. Four degrees of separation. In WebSci, pages 33-42, 2012.
5. M. Cha, H. Haddadi, F. Benevenuto, and K. Gummadi. Measuring user in uence in twitter: The million follower fallacy. In 4th International Conference on Weblogs and Social Media, 2010.
6. M. Cha, H. Kwak, P. Rodriguez, Y.-Y. Ahn, and S. Moon. I tube, you tube, everybody tubes: Analyzing the world's largest user generated content video system. In Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement, New York, NY, USA, 2007.
7. M. Cha, A. Mislove, and K. P. Gummadi. A measurement-driven analysis of information propagation in the ickr social network. In Proceedings of the 18th International Conference on World Wide Web, WWW '09, pages 721-730, New York, NY, USA, 2009. ACM.
8. L. Chiarandini, P. A. Grabowicz, M. Trevisiol, and A. Jaimes. Leveraging browsing patterns for topic discovery and photostream recommendation. In ICWSM, 2013.
9. A. Clauset, C. R. Shalizi, and M. E. J. Newman. Power-law distributions in empirical data. SIAM Rev., 51(4):661-703, Nov. 2009.
10. R. Compton, D. Jurgens, and D. Allen. Geotagging one hundred million twitter accounts with total variation minimization. arXiv:1404.7152, 2014.
11. M. Coscia. Competition and success in the meme pool: A case study on quickmeme.com. In ICWSM, 2013.
12. J. Delaney, N. Salminen, and E. Lee. Infographic: The growing impact of social media. http://www.sociallyawareblog.com, Nov. 2012.
13. Q. Gao, F. Abel, G.-J. Houben, and Y. Yu. A comparative study of users' microblogging behavior on sina weibo and twitter. In Proceedings of the 20th International Conference on User Modeling, Adaptation, and Personalization, pages 88-101, Berlin, Heidelberg, 2012.
14. S. A. Golder and M. W. Macy. Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures. Science, 333:1878-1881, 2009.
15. W. Guan, H. Gao, M. Yang, Y. Li, H. Ma, W. Qian, Z. Cao, and X. Yang. Analyzing user behavior of the micro-blogging website sinaweibo during hot social events. CoRR, abs/1304.3898, 2013.
16. L. Guo, E. Tan, S. Chen, X. Zhang, and Y. E. Zhao. Analyzing patterns of user content generation in online social networks. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '09, pages 369-378, New York, NY, USA, 2009. ACM.
17. N. Hochman and R. Schwartz. Visualizing instagram: Tracing cultural visual rhythms. In ICWSM, 2012.
18. C. Hutto, S. Yardi, and E. Gilbert. A longitudinal study of follow predictors on twitter. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 821-830, 2013.
19. B. J. Jansen, M. Zhang, K. Sobel, and A. Chowdury. Twitter power: Tweets as electronic word of mouth. J. Am. Soc. Inf. Sci. Technol., 60(11), Nov. 2009.
20. A. Java, X. Song, T. Finin, and B. Tseng. Why we twitter: Understanding microblogging usage and communities. In Workshop on Web Mining and Social Network Analysis, pages 56-65, 2007.
21. D. Jurgens. That's what friends are for: Inferring location in online social media platforms based on social relationships. In ICWSM, 2013.
22. M. Korayem and D. J. Crandall. De-Anonymizing users across heterogeneous social computing platforms. In ICWSM, 2013.
23. 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 Conference on World Wide Web, pages 591-600, 2010.
24. S. Mittal, N. Gupta, P. Dewan, and P. Kumaraguru. The pin-bang theory: Discovering the pinterest world. CoRR, abs/1307.4952, 2013.
25. M. Novak. Unwrapping tumblr. http://www.slideshare.net/myklnovak, Jan. 2013.
26. R. Ottoni, J. P. Pesce, D. B. L. Casas, G. F. Jr., W. M. Jr., P. Kumaraguru, and V. Almeida. Ladies first: Analyzing gender roles and behaviors in pinterest. In ICWSM, 2013.
27. J. Park, V. Barash, C. Fink, and M. Cha. Emoticon style: Interpreting differences in emoticons across cultures. In ICWSM, 2013.
28. C. Smith. Tumblr offers advertisers a major advantage: Young users, who spend tons of time on the site. http://www.businessinsider.com/tumblr-And- social-media-demographics-2013-12.
29. J. Ugander, B. Karrer, L. Backstrom, and C. Marlow. The anatomy of the facebook social graph. CoRR, 2011.
30. G. Wang, K. Gill, M. Mohanlal, H. Zheng, and B. Y. Zhao. Wisdom in the social crowd: an analysis of quora. In WWW, 2013.
31. S. Wu, J. M. Hofman, W. A. Mason, and D. J. Watts. Who says what to whom on twitter. In Proceedings of the 20th International Conference on World Wide Web, pages 705-714, New York, NY, USA, 2011.
32. J. Yang and J. Leskovec. Patterns of temporal variation in online media. In Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, pages 177-186, 2011.
33. L. L. Yu, S. Asur, and B. A. Huberman. What trends in chinese social media. CoRR, abs/1107.3522, 2011.
34. R. Zafarani and H. Liu. Connecting users across social media sites: A behavioral-modeling approach. In SIGKDD, pages 41-49, 2013.
35. M. A. Zarro, C. Hall, and A. Forte. Wedding dresses and wanted criminals: Pinterest.com as an infrastructure for repository building. In ICWSM, 2013.
36. D. Zhao and M. B. Rosson. How and why people twitter: The role that micro-blogging plays in informal communication at work. In Proceedings of the ACM 2009 International Conference on Supporting Group Work, 2009.