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Searching for events in the blogosphere

Published: 20 April 2009 Publication History

Abstract

Over the last few years, blogs (web logs) have gained massive popularity and have become one of the most influential web social media in our times. Every blog post in the Blogosphere has a well defined timestamp, which is not taken into account by search engines. By conducting research regarding this feature of the Blogosphere, we can attempt to discover bursty terms and correlations between them during a time interval. We apply Kleinberg's automaton on extracted titles of blog posts to discover bursty terms, we introduce a novel representation of a term's burstiness evolution called State Series and we employ a Euclidean-based distance metric to discover potential correlations between terms without taking into account their context. We evaluate the results trying to match them with real life events. Finally, we propose some ideas for further evaluation techniques and future research in the field.

References

[1]
Bansal, N., Koudas, N., BlogScope: A System for Online Analysis of High Volume Text Streams. VLDB 2007: 1410--1413.
[2]
Kleinberg, J. M., (2003), Bursty and hierarchical structure in streams, Data mining and Knowledge Discovery, 7(4): 373--397.
[3]
Kumar, R., Novak, J., Raghavan, P.,Tomkins, A. On the Bursty Evolution of Blogspace. World Wide Web 8(2): 159--178 (2005).
[4]
Platakis, M., Kotsakos, D., Gunopulos, D. Discovering Hot Topics in the Blogosphere. In Proc. of the 2nd Panhellenic Scientific Student Conference on Informatics, Related Technologies and Applications EUREKA 2008, pp. 122--132.

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  • (2023)Textual outlier detection with an unsupervised method using text similarity and density peakActa Universitatis Sapientiae, Informatica10.2478/ausi-2023-000815:1(91-110)Online publication date: 8-Aug-2023
  • (2022)Outlier and Trend Detection Using Approximate Median and Median Absolute Deviation2022 5th International Conference on Computational Intelligence and Networks (CINE)10.1109/CINE56307.2022.10037489(01-06)Online publication date: 1-Dec-2022
  • (2018)Frame-Based Representation for Event Detection on TwitterIEICE Transactions on Information and Systems10.1587/transinf.2017EDP7311E101.D:4(1180-1188)Online publication date: 2018
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    cover image ACM Conferences
    WWW '09: Proceedings of the 18th international conference on World wide web
    April 2009
    1280 pages
    ISBN:9781605584874
    DOI:10.1145/1526709

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 April 2009

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    Author Tags

    1. blogs
    2. burst analysis
    3. hot topics
    4. information retrieval
    5. keyword correlation
    6. social media
    7. text mining

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    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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    View all
    • (2023)Textual outlier detection with an unsupervised method using text similarity and density peakActa Universitatis Sapientiae, Informatica10.2478/ausi-2023-000815:1(91-110)Online publication date: 8-Aug-2023
    • (2022)Outlier and Trend Detection Using Approximate Median and Median Absolute Deviation2022 5th International Conference on Computational Intelligence and Networks (CINE)10.1109/CINE56307.2022.10037489(01-06)Online publication date: 1-Dec-2022
    • (2018)Frame-Based Representation for Event Detection on TwitterIEICE Transactions on Information and Systems10.1587/transinf.2017EDP7311E101.D:4(1180-1188)Online publication date: 2018
    • (2018)Automatic Generation of Social Event Storyboard From Image Click-Through DataIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2016.259870428:1(242-253)Online publication date: 1-Jan-2018
    • (2016)SPOTHOTProceedings of the 28th International Conference on Scientific and Statistical Database Management10.1145/2949689.2949699(1-12)Online publication date: 18-Jul-2016
    • (2016)TopicSketch: Real-Time Bursty Topic Detection from TwitterIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2016.255666128:8(2216-2229)Online publication date: 1-Aug-2016
    • (2016)Sentiment-based event detection in TwitterJournal of the Association for Information Science and Technology10.1002/asi.2346567:7(1576-1587)Online publication date: 1-Jul-2016
    • (2015)Outlier Detection and Trend DetectionProceedings of the 2015 IEEE International Conference on Data Mining Workshop (ICDMW)10.1109/ICDMW.2015.79(40-46)Online publication date: 14-Nov-2015
    • (2015)Recommending blog articles based on popular event trend analysisInformation Sciences: an International Journal10.1016/j.ins.2015.02.003305:C(302-319)Online publication date: 1-Jun-2015
    • (2015)Language agnostic meme-filtering for hashtag-based social network analysisSocial Network Analysis and Mining10.1007/s13278-015-0271-35:1Online publication date: 22-Jun-2015
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