Analyzing and Grounding Social Interaction in Online and Offline Networks

  • Martin Atzmueller
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8726)

Abstract

In social network analysis, there are a variety of options for investigating social interactions. This paper reviews our recent work on analyzing and grounding social interactions in online and offline networks considering distributional semantics, structural network correlation and network inter-dependencies. Specifically, we focus on the analysis of user relatedness, community structure, and relations on online and offline networks. We discuss findings and results that justify the use of even implicitly accruing social interaction networks for the analysis of user-relatedness, community structure, etc. Furthermore, we provide insights into recent work on analyzing and grounding offline social networks.

Keywords

social network analysis social interaction networks mining social media distributional semantics community structure social distributional hypothesis 

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References

  1. 1.
    Atzmueller, M.: Mining Social Media: Key Players, Sentiments, and Communities. WIREs: Data Mining and Knowledge Discovery 2, 411–419 (2012)Google Scholar
  2. 2.
    Atzmueller, M.: Data Mining on Social Interaction Networks. JDMDH 1 (June 2014)Google Scholar
  3. 3.
    Atzmueller, M.: Social Behavior in Mobile Social Networks: Characterizing Links, Roles and Communities. In: Mobile Social Networking, pp. 65–78. Springer, Berlin (2014)Google Scholar
  4. 4.
    Atzmueller, M., Benz, D., Doerfel, S., Hotho, A.: Enhancing Social Interactions at Conferences. IT 53(3) (2011)Google Scholar
  5. 5.
    Atzmueller, M., Doerfel, S., Hotho, A., Mitzlaff, F., Stumme, G.: Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles. In: Atzmueller, M., Chin, A., Helic, D., Hotho, A. (eds.) MUSE 2011 and MSM 2011. LNCS, vol. 7472, pp. 21–39. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  6. 6.
    Barrat, A., Cattuto, C., Colizza, V., Pinton, J., den Broeck, W.V., Vespignani, A.: High Resolution Dynamical Mapping of Social Interactions with Active RFID. PLoS ONE 5(7) (2010)Google Scholar
  7. 7.
    Barrat, A., Cattuto, C., Szomszor, M., Van den Broeck, W., Alani, H.: Social Dynamics in Conferences: Analyses of Data from the Live Social Semantics Application. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part II. LNCS, vol. 6497, pp. 17–33. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  8. 8.
    Harris, Z.S.: Distributional Structure. Word (1954)Google Scholar
  9. 9.
    Macek, B.-E., Scholz, C., Atzmueller, M., Stumme, G.: Anatomy of a Conference. In: Proc. Hypertext, pp. 245–254. ACM, New York (2012)Google Scholar
  10. 10.
    McPherson, M., Smith-Lovin, L., Cook, J.M.: Birds of a Feather: Homophily in Social Networks. Annual Review of Sociology 27(1), 415–444 (2001)CrossRefGoogle Scholar
  11. 11.
    Mitzlaff, F., Atzmueller, M., Benz, D., Hotho, A., Stumme, G.: Community Assessment Using Evidence Networks. In: Atzmueller, M., Hotho, A., Strohmaier, M., Chin, A. (eds.) MUSE/MSM 2010. LNCS, vol. 6904, pp. 79–98. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  12. 12.
    Mitzlaff, F., Atzmueller, M., Benz, D., Hotho, A., Stumme, G.: User-Relatedness and Community Structure in Social Interaction Networks. CoRR/abs 1309.3888 (2013)Google Scholar
  13. 13.
    Mitzlaff, F., Atzmueller, M., Hotho, A., Stumme, G.: The Social Distributional Hypothesis. Journal of Social Network Analysis and Mining, accepted) (2014)Google Scholar
  14. 14.
    Mitzlaff, F., Atzmueller, M., Stumme, G., Hotho, A.: Semantics of User Interaction in Social Media. In: Ghoshal, G., Poncela-Casasnovas, J., Tolksdorf, R. (eds.) Complex Networks IV. Studies in Computational Intelligence, vol. 476, pp. 13–25. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  15. 15.
    Newman, M.E.J.: Detecting Community Structure in Networks. Europ Physical J. 38 (2004)Google Scholar
  16. 16.
    Scholz, C., Atzmueller, M., Barrat, A., Cattuto, C., Stumme, G.: New Insights and Methods For Predicting Face-To-Face Contacts. In: Proc. ICWSM. AAAI, Palo Alto (2013)Google Scholar
  17. 17.
    Scripps, J., Tan, P.-N., Esfahanian, A.-H.: Exploration of Link Structure and Community-Based Node Roles in Network Analysis. In: Proc. ICDM, pp. 649–654 (October 2007)Google Scholar
  18. 18.
    Siersdorfer, S., Sizov, S.: Social Recommender Systems for Web 2.0 Folksonomies. In: Proc. Hypertext, pp. 261–270. ACM, New York (2009)Google Scholar
  19. 19.
    Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications, 1st edn. Structural Analysis in the Social Sciences, vol. (8). Cambridge University Press (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Martin Atzmueller
    • 1
  1. 1.Knowledge and Data Engineering GroupUniversity of KasselKasselGermany

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