Skip to main content
SpringerLink
Log in

Discovering seeds of New Interest Spread from Premature Pages Cited by Multiple Communities

  • Conference paper
  • First Online:
Web Intelligence: Research and Development (WI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2198))

Included in the following conference series:

  • 660 Accesses

Abstract

The World Wide Webis a great source of new topics significant for trend birth and creation. In this paper, we propose a method for discovering topics, which stimulate communities of people into earnest communications on the topics’ meaning, and grow into a trend of popular interest. Here, the obtained are web pages which absorb attentions of people from multiple interest-communities. It is shown by a experiments to a small group of people, that topics in such pages can trigger the growth of peoples’ interests, beyond the bounds of existing communities.

e-mail:matumura@miv.t.u-tokyo.ac.jp

e-mail:osawa@gssm.otsuka.tsukuba.ac.jp

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

Access this chapter

Log in via an institution
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Allport, G.W and Postman, L., The Psychology of Rumor, H.Holt.(1947)

    Google Scholar 

  2. Clark, K.B., and Fujimoto, T. Product Development Performance: Strategy, Organization, and Management in the World Auto Industry. Boston: Harvard Business School Press. (1990)

    Google Scholar 

  3. Koestler, A., The Act of Creation, New Yourk: Liveright (1964)

    Google Scholar 

  4. Chakrabarti, S. et al, Automatic Resource Compilation by Analyzing Hyperlink structure and Associated Text. In Proc. of WWW7 (1998)

    Google Scholar 

  5. Gibson, D., Kleinberg, J. and Raghavan, P. Inferring Web communities from line topology. In Proc. of 9th ACM Conference on Hypertext and Hypermedia (1998)

    Google Scholar 

  6. Kleinberg, J. Authoritative sources in a hyperlinked environment, IBM Research Report RJ 10076 (1997)

    Google Scholar 

  7. Brin, S. and Page, L. The anatomy of a large scale hypertextual web search engine. In Proc. of 7th World-Wide Web conference (WWW7), (1998)

    Google Scholar 

  8. Kumar, S.R., et al, Trawling the Webfor Emerging Cyber-communities In Proc. of WWW8 (1999)

    Google Scholar 

  9. Mannila, H, et al, “Disocvering Frequent Episodes in Event Sequences” in Proc. First Conf. on Knowledge Discovery and Data Mining (KDD95), 1995.

    Google Scholar 

  10. Weiss, G.M. and Hirsh, H. “Learning to Predict Rare Events in Event Sequences,” in Proc. of KDD-98, 359–363, 1998.

    Google Scholar 

  11. Suzuki, E. and Kodratoff, Discovery of Surprizing Exception Rules Based on Intensity of Implication, in Principles of Data Mining and Knowledge Discovery, LNAI 1510, 10–18, Springer, 1998.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Japan Science and Technology Corporation, TOREST, Japan

    Naohiro Matsumura & Yukio Ohsawa

  2. Graduate School of Systems Management, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo, 112-0012, Japan

    Yukio Ohsawa

  3. Dept. of Electronic Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan

    Naohiro Matsumura & Mitsuru Ishizuka

Authors
  1. Naohiro Matsumura
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yukio Ohsawa
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mitsuru Ishizuka
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Systems and Information Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371-0816, Japan

    Ning Zhong

  2. Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada, S4S 0A2

    Yiju Yao

  3. Department of Computer Science, Hong Kong Baptist University, 224 Waterloo Road, Kowloon, Hong Kong, China

    Jiming Liu

  4. Department of Information and Computer Science, Waseda University, 3-4-1 Okubo Shinjuku-Ku, Tokyo, 169, Japan

    Setsuo Ohsuga

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Matsumura, N., Ohsawa, Y., Ishizuka, M. (2001). Discovering seeds of New Interest Spread from Premature Pages Cited by Multiple Communities. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_23

Download citation

  • DOI: https://doi.org/10.1007/3-540-45490-X_23

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42730-8

  • Online ISBN: 978-3-540-45490-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation