Understanding the Demographics of Twitter Users

Proceedings of the 5th International AAAI Conference on Weblogs and Social Media, ICWSM 2011

Volumn , Issue , 2011, Pages 554-557

  Mislove, Alan ^a   Lehmann, Sune ^b   Ahn, Yong Yeol ^a   Onnela, Jukka Pekka ^c   Rosenquist, J Niels ^c  

^a NORTHEASTERN UNIVERSITY   (United States)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SOCIAL NETWORKING (ONLINE);

DATA-SOURCE; NON-UNIFORM; THREE AXES;

POPULATION STATISTICS;

EID: 85070357722     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Asur, S., and Huberman, B. 2010. Predicing the future with social media. http://arxiv.org/abs/1003.5699.
2. Bollen, J.; Mao, H.; and Zeng, X.-J. 2010. Twitter mood predicts the stock market. In ICWSM.
3. Cha, M.; Haddadi, H.; Benevenuto, F.; and Gummadi, K. 2010. Measuring user influence in twitter: The million follower fallacy. In ICWSM.
4. Chang, J.; Rosenn, I.; Backstrom, L.; and Marlow, C. 2010. epluribus: Ethnicity on social networks. In ICWSM.
5. Corbett, P. 2010. Facebook demographics and statistics report 2010. http://www.istrategylabs.com/2010/01/ facebook-demographics-and-statistics-report-\ 2010-145-growth-in-1-year.
6. Gastner, M. T., and Newman, M. E. J. 2004. Diffusion-based method for producing density-equalizing maps. PNAS 101.
7. O’Connor, B.; Balasubramanyan, R.; Routledge, B.; and Smith, N. 2010. From tweets to polls: Linking text sentiment to public opinion time series. In ICWSM.
8. Social Security Administration. 2010. Most popular baby names. http://www.ssa.gov/oact/babynames.
9. Strayhorn, T. 2009. Sex differences in use of facebook and mys-pace among first-year college students. Stud. Affairs 10(2).
10. U.S. Census. 2000. Genealogy data: Frequently occurring surnames from census. http://www.census.gov/genealogy/www/data/2000surnames.