demonstration

Limosa: a system for geographic user interest analysis in Twitter

Authors:

Jan Vosecky,

Di Jiang,

Wilfred NgAuthors Info & Claims

EDBT '13: Proceedings of the 16th International Conference on Extending Database Technology

Pages 709 - 712

https://doi.org/10.1145/2452376.2452460

Published: 18 March 2013 Publication History

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Abstract

In this demonstration, we present Limosa, an interactive system for visualization of geographic interests of users in Twitter. The system supports the modeling of comprehensive geographic characteristics of topics discussed in microblogs, both with respect to locations that postings originate from and also locations mentioned within the posting itself. Limosa then provides visualizations of geographic user interests, including the geographic scope of topics, terms, or the semantics associated with specific locations. Using a variety of recommendation strategies, we show that Limosa provides effective news and user recommendations.

References

[1]

The Global Twitter Heartbeat. http://www.sgi.com/go/twitter/, 2013.

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Trendsmap. http://trendsmap.com, 2013.

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Z. Cheng, J. Caverlee, and K. Lee. You are where you tweet: A content-based approach to geo-locating Twitter users. In Proceedings of ACM CIKM, 2010.

Digital Library

Google Scholar

[4]

K. Tao, F. Abel, Q. Gao, and G.-j. Houben. TUMS: Twitter-based User Modeling Service. In Proceedings of UWEB Conference, pages 1--15, 2011.

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Cited By

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Zhang CZhang HLi QWu KJiang DSong YLin PChen L(2021)Burstiness-Aware Web Search Analysis on Different Levels of EvidencesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2021.3109304(1-1)Online publication date: 2021
https://doi.org/10.1109/TKDE.2021.3109304
Bilal MUsmani RTayyab MMahmoud AAbdalla RMarjani MPillai TTargio Hashem I(2021)Smart Cities Data: Framework, Applications, and ChallengesHandbook of Smart Cities10.1007/978-3-030-69698-6_6(113-141)Online publication date: 10-Jul-2021
https://doi.org/10.1007/978-3-030-69698-6_6
Bilal MUsmani RTayyab MMahmoud AAbdalla RMarjani MPillai TTargio Hashem I(2020)Smart Cities Data: Framework, Applications, and ChallengesHandbook of Smart Cities10.1007/978-3-030-15145-4_6-1(1-29)Online publication date: 3-Feb-2020
https://doi.org/10.1007/978-3-030-15145-4_6-1
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Index Terms

Limosa: a system for geographic user interest analysis in Twitter
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Geographic visualization
2. Information systems

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Information & Contributors

Information

Published In

EDBT '13: Proceedings of the 16th International Conference on Extending Database Technology

March 2013

793 pages

ISBN:9781450315975

DOI:10.1145/2452376

General Chair:
Giovanna Guerrini
Università di Genova, Italy
,
Program Chair:
Norman W. Paton
University of Manchester, UK

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 March 2013

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Demonstration

Funding Sources

Research Grants Council, University Grants Committee, Hong Kong

Conference

EDBT/ICDT '13

EDBT/ICDT '13: Joint 2013 EDBT/ICDT Conferences

March 18 - 22, 2013

Genoa, Italy

Acceptance Rates

Overall Acceptance Rate 7 of 10 submissions, 70%

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Cited By

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Zhang CZhang HLi QWu KJiang DSong YLin PChen L(2021)Burstiness-Aware Web Search Analysis on Different Levels of EvidencesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2021.3109304(1-1)Online publication date: 2021
https://doi.org/10.1109/TKDE.2021.3109304
Bilal MUsmani RTayyab MMahmoud AAbdalla RMarjani MPillai TTargio Hashem I(2021)Smart Cities Data: Framework, Applications, and ChallengesHandbook of Smart Cities10.1007/978-3-030-69698-6_6(113-141)Online publication date: 10-Jul-2021
https://doi.org/10.1007/978-3-030-69698-6_6
Bilal MUsmani RTayyab MMahmoud AAbdalla RMarjani MPillai TTargio Hashem I(2020)Smart Cities Data: Framework, Applications, and ChallengesHandbook of Smart Cities10.1007/978-3-030-15145-4_6-1(1-29)Online publication date: 3-Feb-2020
https://doi.org/10.1007/978-3-030-15145-4_6-1
Zhou XWang WJin Q(2018)Multi-dimensional attributes and measures for dynamical user profiling in social networking environmentsMultimedia Tools and Applications10.1007/s11042-014-2230-974:14(5015-5028)Online publication date: 31-Dec-2018
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Barforoush AShirazi HEmami H(2017)A New Classification Framework to Evaluate the Entity Profiling on the WebACM Computing Surveys10.1145/306690450:3(1-39)Online publication date: 29-Jun-2017
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Zhou XJin Q(2017)A heuristic approach to discovering user correlations from organized social stream dataMultimedia Tools and Applications10.1007/s11042-014-2153-576:9(11487-11507)Online publication date: 1-May-2017
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Skovsgaard ASidlauskas DJensen C(2014)Scalable top-k spatio-temporal term querying2014 IEEE 30th International Conference on Data Engineering10.1109/ICDE.2014.6816647(148-159)Online publication date: Mar-2014
https://doi.org/10.1109/ICDE.2014.6816647
Vosecky JJiang DLeung KNg WHe QIyengar ANejdl WPei JRastogi R(2013)Dynamic multi-faceted topic discovery in twitterProceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505593(879-884)Online publication date: 27-Oct-2013
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Valkanas GGunopulos DHe QIyengar ANejdl WPei JRastogi R(2013)How the live web feels about eventsProceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505572(639-648)Online publication date: 27-Oct-2013
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