Skip to main content

Identifying Topic Experts and Topic Communities in the Blogspace

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6587))

Abstract

Blogs have become an important media of self-expression recently. Millions of people write blog posts, share their interests, give suggestions and form groups in blogspace. An important way to understand the development of blogspace is to identify topic experts as well as blog communities and to further find how they interact with each other. Topic experts are influential bloggers who usually publish “authoritative” opinions on a specific topic and influence their followers. Here we first discuss the challenge of efficient identifying topic experts and then propose a novel model to quantify topic experts. Based on the topic experts identified, we further propose a new approach to identify the related blog communities on that topic. Experiments are conducted and the results demonstrate that our approaches are very effective and efficient.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Kumar, R., Novak, J., Raghavan, P., Tomkins, A.: On the Bursty Evolution of Blogspace. In: Proc. WWW, pp. 568–576. ACM Press, New York (2003)

    Google Scholar 

  2. Agarwal, N., Liu, H., Tang, L., Yu, P.S.: Identifying the Influential Bloggers in a Community. In: Proc. of WSDM, pp. 207–218. ACM Press, New York (2008)

    Chapter  Google Scholar 

  3. Song, X., Chi, Y., Hino, K., Tseng, B.L.: Identifying Opinion Leaders in the Blogosphere. In: Proc. of CIKM, pp. 971–974. ACM Press, New York (2007)

    Google Scholar 

  4. Bansal, N., Chiang, F., Koudas, N., Wm, F.: Tompa: Seeking Stable Clusters in the Blogosphere. In: Proc. of VLDB, pp. 806–817. VLDB Endowment (2007)

    Google Scholar 

  5. Kumar, R., Raghavan, P., et al.: Trawling the Web for Emerging Cyber-Communities. In: Proc.of WWW, New York, pp. 1481–1493 (1999)

    Google Scholar 

  6. Cormen, T.H., Leiserson, C.E., Rivest, R.L.: Introduction to Algorithms. McGraw Hill and MIT Press (1990)

    Google Scholar 

  7. Pui, G., Fung, C., et al.: Parameter Free Bursty Events Detection in TextStreams. In: Proc. of VLDB, pp. 181–192. VLDB Endowment (2005)

    Google Scholar 

  8. State of the Blogosphere – (August 2006), http://www.sifry.com/alerts/archives/000436.html

  9. Lin, Y., Sundaram, H., Chi, Y., Tatemura, J., Tseng, B.: Blog Community Discovery and Evolution Based on Mutual Awareness Expansion. In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 48–56. IEEE Computer Society, Washington (2007)

    Chapter  Google Scholar 

  10. Tseng, B., Tatemura, J., Wu, Y.: Tomographic Clustering to Visualize Blog Communities as Mountain Views. In: Proc. of the World Wide Web (2005)

    Google Scholar 

  11. Gruhl, D., Guha, R., Liben-Nowell, D., Tomkins, A.: Information Diffusion Through Blogspace. In: Proc. of the World Wide Web, pp. 43–52. ACM Press, New York (2004)

    Google Scholar 

  12. Bulters, J., de Pijke, M.: Discovering Weblog Communities. In: International AAAI Conference on Weblogs and Social Media Boulder, pp. 211–214 (2007)

    Google Scholar 

  13. Kleinberg, J.: Bursty and Hierarchical Structure in Streams. In: Proc. 8th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, pp. 373–397. Kluwer Academic Publishers, HingHam (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, X., Wang, Y., Li, Y., Shi, B. (2011). Identifying Topic Experts and Topic Communities in the Blogspace. In: Yu, J.X., Kim, M.H., Unland, R. (eds) Database Systems for Advanced Applications. DASFAA 2011. Lecture Notes in Computer Science, vol 6587. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20149-3_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20149-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20148-6

  • Online ISBN: 978-3-642-20149-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics