research-article

Tracking the evolution of public concerns in social media

Authors:

Yi Han,

Peng ZouAuthors Info & Claims

ICIMCS '13: Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service

Pages 353 - 357

https://doi.org/10.1145/2499788.2499826

Published: 17 August 2013 Publication History

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Abstract

Microblogging is becoming a popular social media in recent years. Observations show that a large part of posts in microblogging were talking about public events occurred in the real world. Public concerns reflect interests and expectations of the mass for an event. Therefore, to understand and analyze of public concerns will help us to grasp an event, and predict its trend.

This paper presents an evolution analysis method of public concerns for a special kind of post in microblogging, which can provides sufficient background information about an event by its attachments, e.g. a URL for details, a picture, or a video, etc. we called it expandable post. We use expandable posts to reconstruct the topic space. Their reposts are regarded as public concerns, and are located on the space. Thus, the task of tracking public concerns is transformed into tracking the movement of those reposts, and analyzing the relationships between them and their corresponding expandable posts on the topic space. The preliminary experiments on our dataset about H7N9 bird flu collected from Weibo, shows the effectiveness of our method.

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Cited By

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Alkhalifa RKochkina EZubiaga AGuidi BMichienzi ARicci L(2021)Opinions are Made to be ChangedProceedings of the 2021 Workshop on Open Challenges in Online Social Networks10.1145/3472720.3483620(27-32)Online publication date: 19-Oct-2021
https://dl.acm.org/doi/10.1145/3472720.3483620
Wang YZhang YZhou BJia Y(2017)Semi-Supervised Collective Matrix Factorization for Topic Detection and Document Clustering2017 IEEE Second International Conference on Data Science in Cyberspace (DSC)10.1109/DSC.2017.17(88-97)Online publication date: Jun-2017
https://doi.org/10.1109/DSC.2017.17
Wang YQuan YZhou BZhang YPeng M(2017)Topic Detection with Locally Weighted Semi-supervised Collective LearningWeb Information Systems Engineering – WISE 201710.1007/978-3-319-68786-5_45(562-572)Online publication date: 4-Oct-2017
https://doi.org/10.1007/978-3-319-68786-5_45
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Index Terms

Tracking the evolution of public concerns in social media
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
2. Information systems
  1. Information systems applications
    1. Data mining

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Published In

ICIMCS '13: Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service

August 2013

419 pages

ISBN:9781450322522

DOI:10.1145/2499788

Conference Chair:
Tat-Seng Chua
National University of Singapore, Singapore
,
General Chairs:
Ke Lu
University of Chinese Academy of Sciences, China
,
Tao Mei
Microsoft Research Asia, China
,
Xindong Wu
Hefei University of Technology, China

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 August 2013

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Research-article

Funding Sources

China Postdoctoral Science Foundation
National Natural Science Foundation of China
Ministry of Science and Technology of the People's Republic of China
National Key Technology R&D Program

Conference

ICIMCS '13

Sponsor:

NSF of China
University of Sciences & Technology, Hefei

ICIMCS '13: International Conference on Internet Multimedia Computing and Service

August 17 - 19, 2013

Huangshan, China

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ICIMCS '13 Paper Acceptance Rate 20 of 94 submissions, 21%;

Overall Acceptance Rate 163 of 456 submissions, 36%

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Cited By

View all

Alkhalifa RKochkina EZubiaga AGuidi BMichienzi ARicci L(2021)Opinions are Made to be ChangedProceedings of the 2021 Workshop on Open Challenges in Online Social Networks10.1145/3472720.3483620(27-32)Online publication date: 19-Oct-2021
https://dl.acm.org/doi/10.1145/3472720.3483620
Wang YZhang YZhou BJia Y(2017)Semi-Supervised Collective Matrix Factorization for Topic Detection and Document Clustering2017 IEEE Second International Conference on Data Science in Cyberspace (DSC)10.1109/DSC.2017.17(88-97)Online publication date: Jun-2017
https://doi.org/10.1109/DSC.2017.17
Wang YQuan YZhou BZhang YPeng M(2017)Topic Detection with Locally Weighted Semi-supervised Collective LearningWeb Information Systems Engineering – WISE 201710.1007/978-3-319-68786-5_45(562-572)Online publication date: 4-Oct-2017
https://doi.org/10.1007/978-3-319-68786-5_45
Hai-Jew S(2015)Tweet PortraitureEnhancing Qualitative and Mixed Methods Research with Technology10.4018/978-1-4666-6493-7.ch013(308-330)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-6493-7.ch013
Balboni AMarchetti MColajanni MMelegari A(2015)Supporting sense-making and decision-making through time evolution analysis of open sources2015 7th International Conference on Cyber Conflict: Architectures in Cyberspace10.1109/CYCON.2015.7158477(185-202)Online publication date: May-2015
https://doi.org/10.1109/CYCON.2015.7158477
Deng LXu BZhang LHan YZou P(2013)Event Evolution Analysis in Microblogging Based on a View of Public Opinion FieldProceedings of the 2013 Sixth International Symposium on Computational Intelligence and Design - Volume 0210.1109/ISCID.2013.162(193-197)Online publication date: 28-Oct-2013
https://dl.acm.org/doi/10.1109/ISCID.2013.162

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