City happenings into Wikipedia category: Classifying urban events by combining analyses of location-based social networks and Wikipedia

Shoya Sato, Takuro Yonezawa, Jin Nakazawa, Satoshi Kawasaki, Ken Ohta, Hiroshi Inamura, Hideyuki Tokuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Recently, many researchers have been focusing on the detection and classification of urban events by information analysis on social networks. Previous works mainly use text analysis of users' posts on social networks for detecting urban events. However, this approach has a limitation that the users' posts must mention the event for the analysis to be conducted. We propose a new method for classifying urban events by extracting user interest from the location-based social network information without text analysis. The proposed method includes analyzing common friends of users in the vicinity of the event venue and extracting common the friends' attributes by referring to related Wikipedia information. We designed and implemented the proposed method, and conducted an experiment for evaluating our method. Our experimental result shows that our method can classify events well in cases where participants have similar interests.

Original languageEnglish
Title of host publicationUrb-IoT 2016 - 2nd International Conference on IoT in Urban Space, Conference Proceedings
PublisherAssociation for Computing Machinery
Pages47-52
Number of pages6
Volume24-25-May-2016
ISBN (Electronic)9781450342049
DOIs
Publication statusPublished - 2016 May 24
Event2nd International Conference on IoT in Urban Space, Urb-IoT 2016 - Tokyo, Japan
Duration: 2016 May 242016 May 25

Other

Other2nd International Conference on IoT in Urban Space, Urb-IoT 2016
CountryJapan
CityTokyo
Period16/5/2416/5/25

Keywords

  • Classification
  • SNS
  • Urban event
  • Wikipedia

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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