By Topic

What's Happening: Finding Spontaneous User Clusters Nearby Using Twitter

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Taehyun Kim ; Comput. Sci. Dept., KAIST, Daejeon, South Korea ; Huerta-Canepa, G. ; Jongheon Park ; Hyun, S.J.
more authors

Twitter is a public social service that allows users to share information as short-text messages. Previous researchers have tried to analyze the information available on Twitter to discover topic trending. However, these topics are associated with the whole network, and are not associated to a particular place. In this work, we propose a scheme to discover places where something is happening by analyzing geo-tagged tweets in a timely manner. By using the proposed scheme, users will be able to recognize spontaneous events happening nearby, and be notified about it through their smart phones. Experimental results show that by using geo-tagged information associated to tweets, events related to a particular place can be detected using clustering techniques and semantic interpretation of keywords.

Published in:

Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on

Date of Conference:

9-11 Oct. 2011