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Supporting temporal analytics for health-related events in microblogs

Published: 29 October 2012 Publication History

Abstract

Microblogging services, such as Twitter, are gaining interests as a means of sharing information in social networks. Numerous works have shown the potential of using Twitter posts (or tweets) in order to infer the existence and magnitude of real-world events. In the medical domain, there has been a surge in detecting public health related tweets for early warning so that a rapid response from health authorities can take place. In this paper, we present a temporal analytics tool for supporting a comparative, temporal analysis of disease outbreaks between Twitter and official sources, such as, World Health Organization (WHO) and ProMED-mail. We automatically extract and aggregate outbreak events from official outbreak reports, producing time series data. Our tool can support a correlation analysis and an understanding of the temporal developments of outbreak mentions in Twitter, based on comparisons with official sources.

References

[1]
E. Aramaki, S. Maskawa, and M. Morita. Twitter catches the flu: Detecting influenza epidemics using twitter. In Proceedings of EMNLP '2011, 2011.
[2]
M. Cataldi, L. Di Caro, and C. Schifanella. Emerging topic detection on twitter based on temporal and social terms evaluation. In Proceedings of MDMKDD '2010, 2010.
[3]
A. Culotta. Towards detecting influenza epidemics by analyzing twitter messages. In Proceedings of the First Workshop on Social Media Analytics (SOMA '2010), 2010.
[4]
V. Lampos and N. Cristianini. Nowcasting events from the social web with statistical learning. ACM TIST, 3, 2011.
[5]
M. J. Paul and M. Dredze. You are what you tweet: Analyzing twitter for public health. In Proceedings of ICWSM '2011, 2011.
[6]
T. Sakaki, M. Okazaki, and Y. Matsuo. Earthquake shakes twitter users: real-time event detection by social sensors. In Proceedings of WWW '2010, 2010.
[7]
J. Strötgen and M. Gertz. Heideltime: High quality rule-based extraction and normalization of temporal expressions. In Proceedings of the 5th International Workshop on Semantic Evaluation, 2010.

Cited By

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  • (2018)Review of social media analytics process and Big Data pipelineSocial Network Analysis and Mining10.1007/s13278-018-0507-08:1Online publication date: 9-Apr-2018
  • (2018)Basic of GIS and Spatio-Temporal Assessment of Health EventsGeospatial Analysis of Public Health10.1007/978-3-030-01680-7_3(59-98)Online publication date: 30-Dec-2018
  • (2017)Real-Time Novel Event Detection from Social Media2017 IEEE 33rd International Conference on Data Engineering (ICDE)10.1109/ICDE.2017.157(1129-1139)Online publication date: Apr-2017
  • Show More Cited By

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  1. Supporting temporal analytics for health-related events in microblogs

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    Published In

    cover image ACM Conferences
    CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management
    October 2012
    2840 pages
    ISBN:9781450311564
    DOI:10.1145/2396761

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 October 2012

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    Author Tags

    1. Twitter
    2. disease outbreaks
    3. event detection
    4. time series analysis

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    Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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    Cited By

    View all
    • (2018)Review of social media analytics process and Big Data pipelineSocial Network Analysis and Mining10.1007/s13278-018-0507-08:1Online publication date: 9-Apr-2018
    • (2018)Basic of GIS and Spatio-Temporal Assessment of Health EventsGeospatial Analysis of Public Health10.1007/978-3-030-01680-7_3(59-98)Online publication date: 30-Dec-2018
    • (2017)Real-Time Novel Event Detection from Social Media2017 IEEE 33rd International Conference on Data Engineering (ICDE)10.1109/ICDE.2017.157(1129-1139)Online publication date: Apr-2017
    • (2017)Towards Exploiting Social Networks for Detecting Epidemic OutbreaksGlobal Journal of Flexible Systems Management10.1007/s40171-016-0148-y18:1(61-71)Online publication date: 11-Jan-2017
    • (2016)After the boom no one tweetsProceedings of the Sixth International Conference on Emerging Databases: Technologies, Applications, and Theory10.1145/3007818.3007822(17-25)Online publication date: 17-Oct-2016
    • (2016)Challenges in Detecting Epidemic Outbreaks from Social Networks2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA)10.1109/WAINA.2016.111(69-74)Online publication date: Mar-2016
    • (2015)Modeling Individual-Level Infection Dynamics Using Social Network InformationProceedings of the 24th ACM International on Conference on Information and Knowledge Management10.1145/2806416.2806575(1501-1510)Online publication date: 17-Oct-2015
    • (2014)On the Correlation Between Textual Content and Geospatial Locations in MicroblogsProceedings of Workshop on Managing and Mining Enriched Geo-Spatial Data10.1145/2619112.2619115(1-6)Online publication date: 22-Jun-2014
    • (2013)Understanding the diversity of tweets in the time of outbreaksProceedings of the 22nd International Conference on World Wide Web10.1145/2487788.2488172(1335-1342)Online publication date: 13-May-2013

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