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Styles in the Fashion Social Network: An Analysis on Lookbook.nu

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Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9021))

Abstract

As birds of a feather flock together, so do people with similar interests and preferences befriend with each other. Numerous Social Network Analysis (SNA) researchers have investigated how individuals’ identification affects their behaviors, such as ethnicity, education, political opinions and even musical tastes. What about one’s fashion style? These days, online social networks provide rich resources for us to study these phenomena; however, no research has investigated people’s styles/tastes within a social network. In this paper, we analyze the largest fashion social network, Lookbook.nu. By applying SNA techniques, we answer whether people with similar styles tend to connect with each other on the online social networks and whether people form communities based on their styles. We believe this is the first work studying people’s fashion styles on an online social network empirically.

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References

  1. Lusher, D., Robins, G., Kremer, P.: The application of social network analysis to team sports. Measurement in Physical Education and Exercise Science 14(4), 211–224 (2010)

    Article  Google Scholar 

  2. Thelwall, M.: Homophily in myspace. Journal of the American Society for Information Science and Technology 60(2), 219–231 (2009)

    Article  Google Scholar 

  3. Oliver, M.L.: The urban black community as network: Toward a social network perspective. The Sociological Quarterly 29(4), 623–645 (1988)

    Article  Google Scholar 

  4. Morris, T.L., Gorham, J., Cohen, S.H., Huffman, D.: Fashion in the classroom: Effects of attire on student perceptions of instructors in college classes. Communication Education 45(2), 135–148 (1996)

    Article  Google Scholar 

  5. Steglich, C., Snijders, T.A., West, P.: Applying SIENA: An Illustrative Analysis of the Coevolution of Adolescents’ Friendship Networks, Taste in Music, and Alcohol Consumption. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences 2(1), 48 (2006)

    Google Scholar 

  6. Pesendorfer, W.: Design innovation and fashion cycles. American Economic Review 85(4), 771–792 (1995)

    Google Scholar 

  7. Alberti F (2013) A note on fashion cycles, novelty and conformity. Jena Economic Research Papers

    Google Scholar 

  8. Tassier, T.: A model of fads, fashions, and group formation. Complexity 9(5), 51–61 (2004)

    Article  MathSciNet  Google Scholar 

  9. Nick B, Lee C, Cunningham P, Brandes U Simmelian Backbones: amplifying hidden homophily in Facebook networks. In: 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 525–532. IEEE (2013)

    Google Scholar 

  10. Blondel, V.D., Guillaume, J.-L., Lambiotte, R., Lefebvre E.: Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment 10, P10008 (2008)

    Google Scholar 

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Correspondence to Yusan Lin .

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© 2015 Springer International Publishing Switzerland

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Lin, Y., Xu, H., Zhou, Y., Lee, WC. (2015). Styles in the Fashion Social Network: An Analysis on Lookbook.nu. In: Agarwal, N., Xu, K., Osgood, N. (eds) Social Computing, Behavioral-Cultural Modeling, and Prediction. SBP 2015. Lecture Notes in Computer Science(), vol 9021. Springer, Cham. https://doi.org/10.1007/978-3-319-16268-3_43

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  • DOI: https://doi.org/10.1007/978-3-319-16268-3_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16267-6

  • Online ISBN: 978-3-319-16268-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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