Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter
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 soci...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/204785 |
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| _version_ | 1832558723289055232 |
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| author | Duc T. Nguyen Jai E. Jung |
| author_facet | Duc T. Nguyen Jai E. Jung |
| author_sort | Duc T. Nguyen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-556c152aa7c448749eb6f77cbeb63bd8 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-556c152aa7c448749eb6f77cbeb63bd82025-02-03T01:31:40ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/204785204785Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on TwitterDuc T. Nguyen0Jai E. Jung1Department of Computer Engineering, Yeungnam University, Gyeongsan 712-749, Republic of KoreaDepartment of Computer Engineering, Yeungnam University, Gyeongsan 712-749, Republic of KoreaSocial 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.http://dx.doi.org/10.1155/2014/204785 |
| spellingShingle | Duc T. Nguyen Jai E. Jung Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter The Scientific World Journal |
| title | Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter |
| title_full | Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter |
| title_fullStr | Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter |
| title_full_unstemmed | Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter |
| title_short | Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter |
| title_sort | privacy preserving discovery of topic based events from social sensor signals an experimental study on twitter |
| url | http://dx.doi.org/10.1155/2014/204785 |
| work_keys_str_mv | AT ductnguyen privacypreservingdiscoveryoftopicbasedeventsfromsocialsensorsignalsanexperimentalstudyontwitter AT jaiejung privacypreservingdiscoveryoftopicbasedeventsfromsocialsensorsignalsanexperimentalstudyontwitter |