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Detecting latest local events from geotagged tweet streams

Authors:

Jagan Sankaranarayanan,

Sudipta Sengupta,

Hanan SametAuthors Info & Claims

SIGSPATIAL '18: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Pages 520 - 523

https://doi.org/10.1145/3274895.3274977

Published: 06 November 2018 Publication History

Abstract

Geotagged tweet streams contain invaluable information about the real-world local events like sports games, protests and traffic accidents. Timely detecting and extracting such events has various applications but yet unsolved challenges. In this paper, we present DeLLe, a methodology for automatically Detecting Latest Local Events from geotagged tweet streams. DeLLe first finds unusual locations which have aggregated unexpected number of tweets, and then ranks the unusual locations to select the top ones that are likely to be local event candidates. We evaluate DeLLe on the city of Seattle, WA as well as a larger city of New York. The results show that the proposed method generally outperforms competitive baseline approaches.

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Cited By

Takeda NKamisaka DLegaspi RMishima YMinamikawa A(2022)Event Detection and Event-Relevant Tweet Extraction with Human MobilityMobile and Ubiquitous Systems: Computing, Networking and Services10.1007/978-3-030-94822-1_1(3-23)Online publication date: 8-Feb-2022
https://doi.org/10.1007/978-3-030-94822-1_1
Kravi EKanza YKimelfeld BReichart R(2021)Location Classification Based on TweetsProceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery10.1145/3486635.3491075(51-60)Online publication date: 2-Nov-2021
https://dl.acm.org/doi/10.1145/3486635.3491075
Chen HZhang FJin H(2021)PStream: A Popularity-Aware Differentiated Distributed Stream Processing SystemIEEE Transactions on Computers10.1109/TC.2020.301968970:10(1582-1597)Online publication date: 1-Oct-2021
https://doi.org/10.1109/TC.2020.3019689
Show More Cited By

Index Terms

Detecting latest local events from geotagged tweet streams
1. Information systems
  1. Information systems applications
    1. Data mining
      1. Clustering
    2. Spatial-temporal systems
      1. Data streaming

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Information & Contributors

Information

Published In

cover image ACM Conferences

SIGSPATIAL '18: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2018

655 pages

ISBN:9781450358897

DOI:10.1145/3274895

General Chairs:
Farnoush Banaei-Kashani
University of Colorado, Denver
,
Erik Hoel
Esri
,
Program Chairs:
Ralf Hartmut Güting
FernUniversität in Hagen, Germany
,
Roberto Tamassia
Brown University
,
Li Xiong
Emory University

Copyright © 2018 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2018

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National Science Foundation

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SIGSPATIAL '18

Sponsor:

SIGSPATIAL

SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 6 - 9, 2018

Washington, Seattle

Acceptance Rates

SIGSPATIAL '18 Paper Acceptance Rate 30 of 150 submissions, 20%;

Overall Acceptance Rate 220 of 1,116 submissions, 20%

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Cited By

Takeda NKamisaka DLegaspi RMishima YMinamikawa A(2022)Event Detection and Event-Relevant Tweet Extraction with Human MobilityMobile and Ubiquitous Systems: Computing, Networking and Services10.1007/978-3-030-94822-1_1(3-23)Online publication date: 8-Feb-2022
https://doi.org/10.1007/978-3-030-94822-1_1
Kravi EKanza YKimelfeld BReichart R(2021)Location Classification Based on TweetsProceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery10.1145/3486635.3491075(51-60)Online publication date: 2-Nov-2021
https://dl.acm.org/doi/10.1145/3486635.3491075
Chen HZhang FJin H(2021)PStream: A Popularity-Aware Differentiated Distributed Stream Processing SystemIEEE Transactions on Computers10.1109/TC.2020.301968970:10(1582-1597)Online publication date: 1-Oct-2021
https://doi.org/10.1109/TC.2020.3019689
Han YKarunasekera SLeckie C(2020)Image Analysis Enhanced Event Detection from Geo-Tagged Tweet StreamsAdvances in Knowledge Discovery and Data Mining10.1007/978-3-030-47426-3_31(398-410)Online publication date: 6-May-2020
https://doi.org/10.1007/978-3-030-47426-3_31
Alghamdi RMagdy AMokbel M(2019)Towards A Unified Framework for Event Detection ApplicationsProceedings of the 16th International Symposium on Spatial and Temporal Databases10.1145/3340964.3340994(210-213)Online publication date: 19-Aug-2019
https://dl.acm.org/doi/10.1145/3340964.3340994
Shao CZhang LZhu SLiu BLi YCui S(2019)A Fast Lightweight Spatiotemporal Activity Prediction MethodIEEE Access10.1109/ACCESS.2019.29572967(173670-173678)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2957296

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