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

Author

Kim, Taehyun ; Huerta-Canepa, Gonzalo ; Park, Jongheon ; Hyun, Soon J. ; Lee, Dongman

Author_Institution

Comput. Sci. Dept., KAIST, Daejeon, South Korea

fYear

2011

fDate

9-11 Oct. 2011

Firstpage

806

Lastpage

809

Abstract

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.

Keywords

smart phones; social networking (online); social sciences computing; Twitter; geo-tagged tweets; public social service; short-text messages; smart phones; spontaneous user clusters; Clustering algorithms; Conferences; Data mining; History; Real time systems; Servers; Twitter; crowdsourcing; opportunity discovery; social network service; spontaneous event;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Boston, MA

Print_ISBN

978-1-4577-1931-8

Type

conf

DOI

10.1109/PASSAT/SocialCom.2011.135

Filename

6113220