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The Semantic Evolution of General and Specific Communities

  • Matthew Rowe
  • Claudia Wagner
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7955)

Abstract

Content injection methods rely on understanding community dynamics (i.e. attention factors) in order to publish content that community users will engage with (e.g. product-related posts), however such methods require re-training should the community’s discussed topics change. In this paper we present an examination of the semantic evolution of community forums by measuring the topical specificity of online community forums and then tracking changes in the concepts discussed within the forums over time. Our results indicate that general discussion communities tend to diverge in their semantics, while topically-specific communities do not. These findings inform content injection methods on model longevity and the need for adaptation for general communities.

Keywords

Online Community Cosine Similarity Eigenvector Centrality 27th IEEE International Confer Community Forum 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Hong, Q., Kim, S., Cheung, S.C., Bird, C.: Understanding a developer social network and its evolution. In: Proceedings of the 2011 27th IEEE International Conference on Software Maintenance, ICSM 2011, pp. 323–332. IEEE Computer Society, Washington, DC (2011)CrossRefGoogle Scholar
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    Iriberri, A., Leroy, G.: A life-cycle perspective on online community success. ACM Comput. Surv. 41(2), 11:1–11:29 (2009)Google Scholar
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    Wagner, C., Rowe, M., Strohmaier, M., Alani, H.: Ignorance isn’t bliss: an empirical analysis of attention patterns in online communities. In: AES Conference on Social Computing (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Matthew Rowe
    • 1
  • Claudia Wagner
    • 2
  1. 1.School of Computing and CommunicationsLancaster UniversityLancasterUK
  2. 2.Joanneum ResearchInstitute for Information and Communication TechnologiesGrazAustria

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