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BlogScope: spatio-temporal analysis of the blogosphere

Published:08 May 2007Publication History

ABSTRACT

We present BlogScope (www.blogscope.net), a system for analyzing the Blogosphere. BlogScope is an information discovery and text analysis system that offers a set of unique features. Such features include, spatio-temporal analysis of blogs, flexible navigation of the Blogosphere through information bursts, keyword correlations and burst synopsis, as well as enhanced ranking functions for improved query answer relevance. We describe the system, its design and the features of the current version of BlogScope.

References

  1. D. Gruhl, R. V. Guha, R. Kumar, J. Novak, and A. Tomkins. The predictive power of online chatter. In SIGKDD. ACM, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. A. Chandel, O. Hassanzadeh, N. Koudas, M. Sadoghi, and D. Srivastava. Benchmarking Declarative Approximate Selection Predicates In SIGMOD, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. State of the Blogosphere -- aug 2006. http://www.sifry.com/alerts/archives/000436.html.Google ScholarGoogle Scholar

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  1. BlogScope: spatio-temporal analysis of the blogosphere

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    • Published in

      cover image ACM Conferences
      WWW '07: Proceedings of the 16th international conference on World Wide Web
      May 2007
      1382 pages
      ISBN:9781595936547
      DOI:10.1145/1242572

      Copyright © 2007 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 8 May 2007

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      Overall Acceptance Rate1,899of8,196submissions,23%

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