Identifying Topic Experts and Topic Communities in the Blogspace

  • Xiaoling Liu
  • Yitong Wang
  • Yujia Li
  • Baile Shi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6587)


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.


topic expert blog community identify blogspace 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 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. 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)CrossRefGoogle Scholar
  3. 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. 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. 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. 6.
    Cormen, T.H., Leiserson, C.E., Rivest, R.L.: Introduction to Algorithms. McGraw Hill and MIT Press (1990)Google Scholar
  7. 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. 8.
    State of the Blogosphere – (August 2006),
  9. 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)CrossRefGoogle Scholar
  10. 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. 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. 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. 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

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Xiaoling Liu
    • 1
  • Yitong Wang
    • 1
  • Yujia Li
    • 1
  • Baile Shi
    • 1
  1. 1.School of Computer ScienceFudan UniversityShanghaiChina

Personalised recommendations