Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter

Title
Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter
Author(s)
정재은응웬트룽둑
Keywords
NETWORKS
Issue Date
201404
Publisher
HINDAWI PUBLISHING CORPORATION
Citation
SCIENTIFIC WORLD JOURNAL
Abstract
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.
URI
http://hdl.handle.net/YU.REPOSITORY/32506http://dx.doi.org/10.1155/2014/204785
ISSN
1537-744X
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE