BlogScope: spatio-temporal analysis of the blogosphere

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: Daniel Gruhl , R. Guha , Ravi Kumar , Jasmine Novak , Andrew Tomkins, The predictive power of online chatter, Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, August 21-24, 2005, Chicago, Illinois, USA [doi>10.1145/1081870.1081883]
• 2: Amit Chandel , Oktie Hassanzadeh , Nick Koudas , Mohammad Sadoghi , Divesh Srivastava, Benchmarking declarative approximate selection predicates, Proceedings of the 2007 ACM SIGMOD international conference on Management of data, June 11-14, 2007, Beijing, China [doi>10.1145/1247480.1247521]
• 3: State of the Blogosphere -- aug 2006. http://www.sifry.com/alerts/archives/000436.html.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

General Terms:
Algorithms

Keywords:
blogs, information discovery, text analysis, trends, visualization