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An Analysis of the Structure and Dynamics of Large-Scale Q/A Communities

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Advances in Databases and Information Systems (ADBIS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6909))

Abstract

In recent years, the World Wide Web (WWW) has transformed to a gigantic social network where people interact and collaborate in diverse online communities. By using Web 2.0 tools, people contribute content and knowledge at a rapid pace. Knowledge-intensive social networks such as Q/A communities offer a great source of expertise for crowdsourcing applications. Companies desiring to outsource human tasks to the crowd, however, demand for certain guarantees such as quality that can be expected from returned tasks. We argue that the quality of crowd-sourced tasks greatly depends on incentives and the users’ dynamically evolving expertise and interests. Here we propose expertise mining techniques that are applied in online social communities. Our approach recommends users by considering contextual properties of Q/A communities such as participation degree and topic-sensitive expertise. Furthermore, we discuss prediction mechanisms to estimate answering dynamics considering a person’s interest and social preferences.

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Authors and Affiliations

  1. Distributed Systems Group, Vienna University of Technology, Argentinierstrasse 8/184-1, A-1040, Vienna, Austria

    Daniel Schall & Florian Skopik

Authors
  1. Daniel Schall
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  2. Florian Skopik
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Editor information

Editors and Affiliations

  1. Alpen Adria Universität Klagenfurt, Institut für Informatik-Systeme, Universitätsstr. 65, 9020, Klagenfurt, Austria

    Johann Eder

  2. Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava, Ilkoviçova 3, 842 16, Bratislava, Slovakia

    Maria Bielikova

  3. Institut für Softwaretechnik, Technische Universität Wien, Favoritenstr. 9-11/188, 1040, Wien, Austria

    A Min Tjoa

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Schall, D., Skopik, F. (2011). An Analysis of the Structure and Dynamics of Large-Scale Q/A Communities. In: Eder, J., Bielikova, M., Tjoa, A.M. (eds) Advances in Databases and Information Systems. ADBIS 2011. Lecture Notes in Computer Science, vol 6909. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23737-9_21

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  • DOI: https://doi.org/10.1007/978-3-642-23737-9_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23736-2

  • Online ISBN: 978-3-642-23737-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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