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A study of homophily on social media

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Abstract

The fact that similarity breeds connections, the principle of homophily, has been well-studied in existing sociology literature. Several studies have observed this phenomenon by conducting surveys on human subjects. These studies have concluded that new ties are formed between similar individuals. This phenomenon has been used to explain several socio-psychological concepts such as, segregation, community development, social mobility, etc. However, due to the nature of these studies and limitations because of involvement of human subjects, conclusions from these studies are not easily extensible in online social media. Social media, which is becoming the infinite space for interactions, has exceeded all the expectations in terms of growth, for reasons beyond human mind. New ties are formed in social media in the same way that they emerge in real-world. However, given the differences between real world and online social media, do the same factors that govern the construction of new ties in real world also govern the construction of new ties in social media? In other words, does homophily exist in social media? In this article, we study this extremely significant question. We propose a systematic approach by studying three online social media sites, BlogCatalog, Last.fm, and LiveJournal and report our findings along with some interesting observations. The results indicate that the influence of interest-based homophily is not a very strong leading factor for constructing new ties specifically in the three social media sites with implications to strategic advertising, recommendations, and promoting applications at large.

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References

  1. Adamic, L.A., Adar, E.: Friends and neighbors on the web. Soc. Netw. 25(3), 211–230 (2003)

    Article  Google Scholar 

  2. Agarwal, N., Liu, H.: Modeling and data mining in blogosphere. In: Synthesis Lectures on Data Mining and Knowledge Discovery, vol. 1. Morgan & Claypool Publishers

  3. Albert, R., Barabási, A.L.: Statistical mechanics of complex networks. Rev. Mod. Phys. 74(1), 47–97 (2002)

    Article  MATH  Google Scholar 

  4. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

    MATH  Google Scholar 

  5. BlogPulse Stats: http://www.blogpulse.com/. Online; accessed 30 April 2011

  6. Bodon, F.: A fast apriori implementation. In: Goethals, B., Zaki, M.J. (eds.) Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations (FIMI’03), CEUR Workshop Proceedings, vol. 90, Melbourne, Florida, USA, p. 19 (2003)

  7. Clauset, A., Newman, M.E.J., Moore, C.: Finding community structure in very large networks. Phys. Rev. E 70(6), 66111 (2004)

    Article  Google Scholar 

  8. Crandall, D., Cosley, D., Huttenlocher, D., Kleinberg, J., Suri, S.: Feedback effects between similarity and social influence in online communities. In: Proceeding of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 160–168. ACM, New York (2008)

  9. Dhillon, I.S., Guan, Y., Kulis, B.: Weighted graph cuts without eigenvectors: a multilevel approach. IEEE Trans. Pattern Anal. Mach. Intell. 29, 1944–1957 (2007)

    Article  Google Scholar 

  10. Facebook Statistics—Press Room: http://www.facebook.com/press/info.php?statistics/ (2008). Online; accessed 30 April 2011

  11. Fiore, A.T., Donath, J.S.: Homophily in online dating: when do you like someone like yourself? In: CHI’05 Extended Abstracts on Human Factors in Computing Systems, pp. 1371–1374. ACM, New York (2005)

    Google Scholar 

  12. Gilbert, E., Karahalios, K.: Predicting tie strength with social media. In: Proceedings of the 27th International Conference on Human Factors in Computing Systems, pp. 211–220. ACM, New York (2009)

    Chapter  Google Scholar 

  13. Girvan, M., Newman, M.E.J.: Community structure in social and biological networks. Proc. Natl. Acad. Sci. 99(12), 7821 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  14. Hendrickson, B., Leland, R.W.: A multi-level algorithm for partitioning graphs. In: Supercomputing (1995)

  15. Hofmann, T.: Probabilistic latent semantic indexing. In: Gey, F., Hearst, M., Tong, R. (eds.) Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’99), 15–19 August 1999, Berkeley, CA, USA, pp. 50–57. ACM Press, New York (1999)

  16. Hoyt, D.R., Babchuk, N.: Adult kinship networks: the selective formation of intimate ties with kin. Soc. Forces 62(1), 84–101 (1983)

    Google Scholar 

  17. Kaplan, A.M., Haenlein, M.: Users of the world, unite! The challenges and opportunities of social media. Bus. Horiz. 53(1), 59–68 (2010)

    Article  Google Scholar 

  18. Karypis, G., Kumar, V.: A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM J. Sci. Comput. 20(1), 359–392 (1998)

    Article  MathSciNet  Google Scholar 

  19. Kernighan, B.W., Lin, S.: An efficient heuristic procedure for partitioning graphs. Bell Syst. Tech. J. 49(1), 291–307 (1970)

    MATH  Google Scholar 

  20. Kossinets, G., Watts, D.J.: Origins of homophily in an evolving social network. Am. J. Sociol. 115(2), 405–450 (2009)

    Article  Google Scholar 

  21. Kumar, R., Novak, J., Raghavan, J., Tomkins, A.: On the bursty evolution of blogspace. World Wide Web 8(2), 159–178 (2005)

    Article  Google Scholar 

  22. Lazarsfeld, P.F., Merton, R.K.: Friendship as a social process: a substantive and methodological analysis. Freedom and Control in Modern Society 18, 66 (1954)

    Google Scholar 

  23. Lin, Y.R., Sundaram, H., Chi, Y., Tatemura, J., Tseng, B.L.: Blog community discovery and evolution based on mutual awareness expansion. In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 48–56. IEEE Computer Society, Piscataway (2007)

    Chapter  Google Scholar 

  24. McCallum, A.K.: MALLET: A Machine Learning for Language Toolkit. http://mallet.cs.umass.edu (2002)

  25. McPherson, M., Smith-Lovin, L., Cook, J.M.: Birds of a feather: homophily in social networks. Ann. Rev. Sociol. 27(1), 415–444 (2001)

    Article  Google Scholar 

  26. Nowak, K.L., Rauh, C.: The influence of the avatar on online perceptions of anthropomorphism, androgyny, credibility, homophily, and attraction. J. Comput.-Mediat. Commun. 11(1), 153–178 (2005)

    Article  Google Scholar 

  27. Shiels, M.: Twitter Co-Founder Jack Dorsey Rejoins Company. http://www.bbc.co.uk/news/business-12889048/ (2011). Online; accessed 14 May 2011

  28. Singla, P., Richardson, M.: Yes, There is a Correlation: From Social Networks to Personal Behavior on the Web (2008)

  29. Team, NWB: Network Workbench Tool. Indiana University, Northeastern University, and University of Michigan. http://nwb.slis.indiana.edu/ (2006)

  30. Thelwall, M.: Homophily in myspace. J. Am. Soc. Inf. Sci. Technol. 60(2), 219–231 (2009)

    Article  Google Scholar 

  31. Verbrugge, L.M.: The structure of adult friendship choices. Soc. Forces 56(2), 576–597 (1977)

    Google Scholar 

  32. White, D., Winn, P.: State of the Blogosphere. http://technorati.com/blogging/feature/state-of-the-blogosphere-2008/ (2008). Online; accessed 30 April 2011

  33. Zafarani, R., Liu, H.: Social Computing Data Repository at ASU. http://socialcomputing.asu.edu/ (2009)

  34. Zhang, R., Tran, T., Mao, Y.: Opinion helpfulness prediction in the presence of “words of few mouths”. World Wide Web, 1–22 (2011). doi:10.1007/s11280-011-0127-3

    Google Scholar 

  35. Zhou, Y., Davis, J.: Community discovery and analysis in blogspace. In: Proceedings of the 15th International Conference on World Wide Web, p. 1018. ACM, New York (2006)

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Correspondence to Nitin Agarwal.

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Bisgin, H., Agarwal, N. & Xu, X. A study of homophily on social media. World Wide Web 15, 213–232 (2012). https://doi.org/10.1007/s11280-011-0143-3

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