The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.02 - March/April (2010 vol.14)
pp: 15-23
Hady W. Lauw , Search Labs, Microsoft Research
John C. Shafer , Search Labs, Microsoft Research
Rakesh Agrawal , Search Labs, Microsoft Research
Alexandros Ntoulas , Search Labs, Microsoft Research
ABSTRACT
Are two users more likely to be friends if they share common interests? Are two users more likely to share common interests if they're friends? The authors study the phenomenon of homophily in the digital world by answering these central questions. Unlike the physical world, the digital world doesn't impose any geographic or organizational constraints on friendships. So, although online friends might share common interests, a priori there's no reason to believe that two users with common interests are more likely to be friends. Using data from LiveJournal, the authors show that the answer to both questions is yes.
INDEX TERMS
homophily, friendship, interest, social network, Internet
CITATION
Hady W. Lauw, John C. Shafer, Rakesh Agrawal, Alexandros Ntoulas, "Homophily in the Digital World: A LiveJournal Case Study", IEEE Internet Computing, vol.14, no. 2, pp. 15-23, March/April 2010, doi:10.1109/MIC.2010.25
REFERENCES
1. M. McPherson, L. Smith-Lovin, and J.M. Cook, "Birds of a Feather: Homophily in Social Networks," Ann. Rev. Sociology, Aug. 2001, pp. 415–444.
2. D. Watts and S. Strogatz, "Collective Dynamics of Small-World Networks," Nature, vol. 393, no. 6684, 1998, pp. 440–442.
3. A. Gionis et al., "Assessing Data Mining Results via Swap Randomization," ACM Trans. Knowledge Discovery from Data, vol. 1, no. 3, 2007, art. 14.
4. G. Jeh and J. Widom, "Scaling Personalized Web Search," Proc. World Wide Web Conf. (WWW 03), ACM Press, 2003, pp. 271–279.
5. M. Richardson, R. Agrawal, and P. Domingos, "Trust Management for the Semantic Web," Proc. Int'l Semantic Web Conf., Springer, 2003, pp. 351–368.
6. S.P. Borgatti and M.G. Everett, "Network Analysis of 2-mode Data," Social Networks, vol. 19, no. 3, 1997, pp. 243–269.
22 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool