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Social Network Data and Practices: The Case of Friendfeed

  • Conference paper
Advances in Social Computing (SBP 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6007))

Abstract

Due to their large worldwide adoption, Social Network Sites (SNSs) have been widely used in many global events as an important source to spread news and information. While the searchability and persistence of this information make it ideal for sociological research, a quantitative approach is still challenging because of the size and complexity of the data. In this paper we provide a first analysis of Friendfeed, a well-known and feature-rich SNS.

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References

  1. Cosenza, V.: Osservatorio facebook (2009), http://www.vincos.it/osservatorio-facebook (retrieved on August 31, 2009)

  2. boyd, d., Ellison, N.: Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication 13(1) (2007)

    Google Scholar 

  3. Siiback, A.: Online peer culture and interpretative reproduction on children’s social networking profiles. In: COST conference proceedings (2009)

    Google Scholar 

  4. Hardey, M.: ICT and generations constantly connected social lives, the good the bad the challenging. In: COST conference proceedings (2009)

    Google Scholar 

  5. boyd, d.: Taken Out of Context: American Teen Sociality in Networked Publics. PhD thesis, University of California-Berkeley, School of Information (2008)

    Google Scholar 

  6. Celli, F.: Slide: Simple language identifier in perl. Technical report, University of Trento (2009)

    Google Scholar 

  7. Kaufman, L., Rousseeuw, P.: Finding Groups in Data: An Introduction to Cluster Analysis. Wiley, New York (1990)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Language Inter. and Comp. Lab, Univ. of Trento,  

    Fabio Celli

  2. Dept. of Statistical Science, University of Bologna,  

    F. Marta L. Di Lascio

  3. Dept. of Computer Science, University of Bologna,  

    Matteo Magnani

  4. Independent researcher,  

    Barbara Pacelli

  5. Dept. of Communication Studies, University of Urbino,  

    Luca Rossi

Authors
  1. Fabio Celli
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  2. F. Marta L. Di Lascio
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  3. Matteo Magnani
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  4. Barbara Pacelli
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  5. Luca Rossi
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Editor information

Editors and Affiliations

  1. Department of Sociology, University of Hawaii, 2424 Maile Way, Saunders Hall 237, 956-7234, Honolulu, HI, USA

    Sun-Ki Chai

  2. Air Force Research Laboratory, Rome Research Site, AFRL/RIEF, 525 Brooks Road, NY 13441, Rome, USA

    John J. Salerno

  3. Department of Behavioral and Social Sciences Research, National Institute of Health (NIH), 31 Center Drive, 20892-2027, Bethesda, MD, USA

    Patricia L. Mabry

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© 2010 Springer-Verlag Berlin Heidelberg

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Celli, F., Di Lascio, F.M.L., Magnani, M., Pacelli, B., Rossi, L. (2010). Social Network Data and Practices: The Case of Friendfeed. In: Chai, SK., Salerno, J.J., Mabry, P.L. (eds) Advances in Social Computing. SBP 2010. Lecture Notes in Computer Science, vol 6007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12079-4_43

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  • DOI: https://doi.org/10.1007/978-3-642-12079-4_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12078-7

  • Online ISBN: 978-3-642-12079-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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