Using lists to measure homophily on twitter

AAAI Workshop - Technical Report

Volumn WS-12-09, Issue , 2012, Pages 26-32

  Kang, Jeon Hyung ^a   Lerman, Kristina ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HOMOPHILY; PERSONALIZATIONS; REAL-WORLD; SOCIAL NETWORKS; SOCIAL SYSTEMS; USER MODELS;

RECOMMENDER SYSTEMS;

SOCIAL NETWORKING (ONLINE);

EID: 84875633674     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. Bakshy, E.; Hofman, J. M.; Mason, W. A.; and Watts, D. J. 2011. Everyone's an influencer: quantifying influence on twitter. In King, I.; Nejdl, W.; and Li, H., eds., WSDM, 65-74.
2. Blei, D.; Ng, A.; and Jordan, M. 2003. Latent dirichlet allocation. J. Machine Learning Research 3:993-1022.
3. Christakis, N. A., and Fowler, J. H. 2007. The Spread of Obesity in a Large Social Network over 32 Years. New England Journal of Medicine 357(4):370-379.
4. Crandall, D.; Cosley, D.; Huttenlocher, D.; Kleinberg, J.; and Suri, S. 2008. Feedback effects between similarity and social influence in online communities. In Proc. 14th ACM SIGKDD Int. Conf. on Knowledge discovery and data mining, KDD '08, 160-168.
5. De Choudhury, M.; Sundaram, H.; John, A.; Seligmann, D. D.; and Kelliher, A. 2010. "Birds of a Feather": Does User Homophily Impact Information Diffusion in Social Media?
6. Feld, S. L. 1981. The focused organization of social ties. The American Journal of Sociology 86(5):1015-1035.
7. Gilbert, E., and Karahalios, K. 2009. Predicting tie strength with social media. In Proc. 27th Int. Conf. on Human factors in computing systems, CHI '09, 211-220.
8. Golder, S., and Huberman, B. A. 2006. The structure of collaborative tagging systems. Journal of Information Science 32(2).
9. Huberman, B. A.; Romero, D. M.; and Wu, F. 2008. Social networks that matter: Twitter under the microscope, cite arxiv:0812.1045.
10. Java, A.; Song, X.; Finin, T.; and Tseng, B. 2007. Why We Twitter: Understanding Microblogging Usage and Communities. Procedings of the Joint 9th WEBKDD and 1st SNA-KDD Workshop 2007.
11. Körner, C.; Benz, D.; Hotho, A.; Strohmaier, M.; and Gerd, S. 2010. Stop thinking, start tagging: tag semantics emerge from collaborative verbosity. In Proc. 19th Int. Conf. on World wide web, WWW '10, 521-530.
12. Kossinets, G., and Watts, D. J. 2009. Origins of Homophily in an Evolving Social Network. The American Journal of Sociology 115(2).
13. Krishnamurthy, B.; Gill, P.; and Arlitt, M. 2008. A few chirps about twitter. In WOSP '08: Proc. first workshop on Online social networks, 19-24. New York, NY, USA: ACM.
14. Kwak, H.; Lee, C.; Park, H.; and Moon, S. 2010. What is twitter, a social network or a news media? In WWW '10: Proc. 19th Int. Conf. on World wide web, 591-600. New York, NY, USA: ACM.
15. Lerman, K.; Intagorn, S.; Kang, J.-H.; and Ghosh, R. 2011. Using proximity to predict activity in social networks.
16. Leskovec, J., and Horvitz, E. 2008. Planetary-scale views on a large instant-messaging network. In Proceeding of the 17th international conference on World Wide Web, WWW '08, 915-924. New York, NY, USA: ACM.
17. Liben-Nowell, D., and Kleinberg, J. 2007. The link-prediction problem for social networks. J. Am. Soc. Inf. Sci. 58(7):1019-1031. (Pubitemid 46830394)
18. Lin, J. 1991. Divergence measures based on the shannon entropy. IEEE Transactions on Information theory 37:145-151.
19. Mackinnon, I. 2006. Age and geographic inferences of the livejournal social network. In In Statistical Network Analysis Workshop.
20. McPherson, M.; Smith-Lovin, L.; and Cook, J. M. 2001. Birds of a feather: Homophily in social networks. Annual Review of Sociology 27(1):415-444.
21. Mislove, A.; Marcon, M.; Gummadi, K. P.; Druschel, P.; and Bhattacharjee, B. 2007. Measurement and analysis of online social networks. In Proc. 7th ACM SIGCOMM conference on Internet measurement, IMC '07, 29-42.
22. Schifanella, R.; Barrat, A.; Cattuto, C.; Markines, B.; and Menczer, F. 2010. Folks in folksonomies: social link prediction from shared metadata. In Proceedings of the third ACM international conference on Web search and data mining, WSDM '10, 271-280. New York, NY, USA: ACM.
23. Singla, P., and Richardson, M. 2008. Yes, There is a Correlation - From Social Networks to Personal Behavior on the Web.
24. Weng, J.; Lim, E.-P.; Jiang, J.; and He, Q. 2010. Twitterrank: finding topic-sensitive influential twitterers. In Davison, B. D.; Suel, T.; Craswell, N.; and Liu, B., eds., WSDM, 261-270. ACM.
25. Wu, S.; Hofman, J. M.; Mason, W. A.; and Watts, D. J. 2011. Who says what to whom on twitter. In Proc. 20th Int. Conf. on World wide web, WWW '11, 705-714.