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Volumn , Issue , 2008, Pages 115-122

Narratives: A visualization to track narrative events as they develop

Author keywords

Blogs; Events; Time series; Topic detection and tracking; Trends

Indexed keywords

CLUSTERING TECHNIQUES; EXISTING SYSTEMS; NARRATIVE EVENTS; NEWS ARTICLES; SINGLE POINT; SOCIAL CONTEXT; SOCIAL MEDIA; TEXT STREAMS; THEMERIVER; TOPIC DETECTION AND TRACKING; WEBLOGS;

EID: 77949823817     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2008.4677364     Document Type: Conference Paper
Times cited : (43)

References (16)
  • 5
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    • NewsJunkie: Providing personalized newsfeeds via analysis of information novelty
    • E. Gabrilovich, S. Dumais and E. Horvitz (2004). NewsJunkie: Providing personalized newsfeeds via analysis of information novelty. In Proceedings of WWW'2004, 482-490.
    • (2004) Proceedings of WWW'2004 , pp. 482-490
    • Gabrilovich, E.1    Dumais, S.2    Horvitz, E.3
  • 6
    • 32344438875 scopus 로고    scopus 로고
    • N. Glance, M. Hurst, K. Nigam, M. Siegler, R. Stockton, and T. Tomokiyo. 2005. Deriving marketing intelligence from online discussion. In Proceedings of the Eleventh ACM SIGKDD international Conference on Knowledge Discovery in Data Mining (Chicago, Illinois, USA, August 21 - 24, 2005). KDD '05. ACM, New York, NY, 419-428.
    • N. Glance, M. Hurst, K. Nigam, M. Siegler, R. Stockton, and T. Tomokiyo. 2005. Deriving marketing intelligence from online discussion. In Proceedings of the Eleventh ACM SIGKDD international Conference on Knowledge Discovery in Data Mining (Chicago, Illinois, USA, August 21 - 24, 2005). KDD '05. ACM, New York, NY, 419-428.
  • 9
    • 0036261416 scopus 로고    scopus 로고
    • S. Havre, E. Hetzler, P. Whitney, P., and L. Nowell. ThemeRiver: Visualizing Thematic Changes in Large Document Collections. IEEE Transactions on Visualization and Computer Graphics 8, 1 (Jan. 2002), 9-20.
    • S. Havre, E. Hetzler, P. Whitney, P., and L. Nowell. ThemeRiver: Visualizing Thematic Changes in Large Document Collections. IEEE Transactions on Visualization and Computer Graphics 8, 1 (Jan. 2002), 9-20.
  • 10
    • 4644334224 scopus 로고    scopus 로고
    • Analysis Experiences Using Information Visualization
    • Sep
    • E. Hetzler and A. Turner. Analysis Experiences Using Information Visualization. IEEE Comput. Graph. Appl. 24, 5 (Sep. 2004), 22-26.
    • (2004) IEEE Comput. Graph. Appl , vol.24 , Issue.5 , pp. 22-26
    • Hetzler, E.1    Turner, A.2
  • 11
    • 0042209915 scopus 로고    scopus 로고
    • Bursty and Hierarchical Structure in Streams
    • Oct
    • J. Kleinberg. Bursty and Hierarchical Structure in Streams. Data Mining and Knowledge Discovery. 7, 4 (Oct. 2003), 373-397.
    • (2003) Data Mining and Knowledge Discovery , vol.7 , Issue.4 , pp. 373-397
    • Kleinberg, J.1
  • 14
    • 0033280863 scopus 로고    scopus 로고
    • Proceedings of the 1999 IEEE Symposium on Information Visualization
    • October 23-26, INFOVIS. IEEE Computer Society, Washington, DC
    • J. van Wijk, E. van Selow. Cluster and Calendar based Visualization of Time Series Data. In Proceedings of the 1999 IEEE Symposium on Information Visualization (October 23-26, 1999). INFOVIS. IEEE Computer Society, Washington, DC.
    • (1999) Cluster and Calendar based Visualization of Time Series Data
    • van Wijk, J.1    van Selow, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.