demonstration

Supporting temporal analytics for health-related events in microblogs

Authors:

Nattiya Kanhabua,

Sara Romano,

Avaré Stewart,

Wolfgang NejdlAuthors Info & Claims

CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management

Pages 2686 - 2688

https://doi.org/10.1145/2396761.2398726

Published: 29 October 2012 Publication History

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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.

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Cited By

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Sebei HHadj Taieb MBen Aouicha M(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
https://doi.org/10.1007/s13278-018-0507-0
Bhunia GShit PBhunia GShit P(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
https://doi.org/10.1007/978-3-030-01680-7_3
Li QNourbakhsh AShah SLiu X(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
https://doi.org/10.1109/ICDE.2017.157
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Supporting temporal analytics for health-related events in microblogs
1. Information systems
  1. Information retrieval

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Published In

CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management

October 2012

2840 pages

ISBN:9781450311564

DOI:10.1145/2396761

General Chair:
Xuewen Chen
Wayne State University, USA
,
Program Chairs:
Guy Lebanon
Georgia Institute of Technology
,
Haixun Wang
Microsoft Research Asia
,
Mohammed J. Zaki
Rensselaer Polytechnic Institute

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Association for Computing Machinery

New York, NY, United States

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Published: 29 October 2012

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CIKM'12: 21st ACM International Conference on Information and Knowledge Management

October 29 - November 2, 2012

Hawaii, Maui, USA

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

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Sebei HHadj Taieb MBen Aouicha M(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
https://doi.org/10.1007/s13278-018-0507-0
Bhunia GShit PBhunia GShit P(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
https://doi.org/10.1007/978-3-030-01680-7_3
Li QNourbakhsh AShah SLiu X(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
https://doi.org/10.1109/ICDE.2017.157
Di Martino SRomano SBertolotto MKanhabua NMazzeo ANejdl W(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
https://doi.org/10.1007/s40171-016-0148-y
Wakamiya SKawai YAramaki EKim JKim YGeller JChoi WLeung CPark Y(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
https://dl.acm.org/doi/10.1145/3007818.3007822
Romano SMartino SKanhabua NMazzeo ANejdl W(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
https://doi.org/10.1109/WAINA.2016.111
Tuarob STucker CSalathe MRam NBailey JMoffat AAggarwal Cde Rijke MKumar RMurdock VSellis TYu J(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
https://dl.acm.org/doi/10.1145/2806416.2806575
Grabovitch-Zuyev IKanza YKravi EPat BNascimento MRenz MEmrich TMouratidis KZüfle A(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
https://dl.acm.org/doi/10.1145/2619112.2619115
Kanhabua NNejdl WSchwabe DAlmeida VGlaser HBaeza-Yates RMoon S(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
https://dl.acm.org/doi/10.1145/2487788.2488172

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Observatory of trends in software related microblogs

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Characterizing communal microblogs during disaster events

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