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SocialTrends: A Web Application for Monitoring and Visualizing Users in Social Media

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Social Informatics (SocInfo 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7710))

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Abstract

Nowadays social media trends are becoming very important to describe the variation of popularity, activity and influence of an entity. In this paper we define an abstract model which can be used on different social media to compare metrics with the same meaning. In particular we describe three classes of metrics: popularity, activity and influence. We also present SocialTrends, a web application (http://www.social-trends.it/) which collects, elaborates and visualizes social media data. Finally, we describe one experiment we have done to test SocialTrends.

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References

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Author information

Authors and Affiliations

  1. Institute of Informatics and Telematics, National Research Council (CNR), Pisa, Italy

    Maurizio Tesconi, Davide Gazzé & Angelica Lo Duca

Authors
  1. Maurizio Tesconi
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  2. Davide Gazzé
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  3. Angelica Lo Duca
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Editor information

Editors and Affiliations

  1. Distributed Information Systems Laboratory (LSIR), School for Computer and Communication Science (I&C), EPFL-IC,, Bâtiment BC, Station 14, 1015, Lausanne, Switzerland

    Karl Aberer

  2. Department of Sociology, ICS, University of Groningen, Grote Rozenstraat 31, 9712 TG, Groningen, The Netherlands

    Andreas Flache

  3. Groningen Center for Social Complexity Studies, Nettelbosje 2, 9747 AE, Groningen, The Netherlands

    Wander Jager

  4. Georgia Institute of Technology, KACB, room 3340,School of Computer Science, College of Computing, 266 Ferst Dr, 30332-0765, Atlanta, GA, USA

    Ling Liu

  5. Tsinghua University, Rm 1-308, FIT Building, 100084, Beijing, China

    Jie Tang

  6. Data Archiving and Networked Services (DANS), Anna van Saksenlaan 10, 2593 HT, Den Haag, The Netherlands

    Christophe Guéret

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© 2012 Springer-Verlag Berlin Heidelberg

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Tesconi, M., Gazzé, D., Duca, A.L. (2012). SocialTrends: A Web Application for Monitoring and Visualizing Users in Social Media. In: Aberer, K., Flache, A., Jager, W., Liu, L., Tang, J., Guéret, C. (eds) Social Informatics. SocInfo 2012. Lecture Notes in Computer Science, vol 7710. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35386-4_40

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  • DOI: https://doi.org/10.1007/978-3-642-35386-4_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35385-7

  • Online ISBN: 978-3-642-35386-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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