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Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-03
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Social network services (e.g., Twitter and Facebook) can be regarded as social sensors which can capture a number of events in the society.
Particularly, in terms of time and space, various smart devices have improved the accessibility to the social network services.
In this paper, we present a social software platform to detect a number of meaningful events from information diffusion patterns on such social network services.
The most important feature is to process the social sensor signal for understanding social events and to support users to share relevant information along the social links.
The platform has been applied to fetch and cluster tweets from Twitter into relevant categories to reveal hot topics.
American Psychological Association (APA)
Nguyen, Duc T.& Jung, Jai E.. 2014. Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1048716
Modern Language Association (MLA)
Nguyen, Duc T.& Jung, Jai E.. Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter. The Scientific World Journal No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-1048716
American Medical Association (AMA)
Nguyen, Duc T.& Jung, Jai E.. Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1048716
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048716