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Graph-based Event Detection Scheme Considering User Interest in Social Networks

소셜 네트워크에서 사용자 관심도를 고려한 그래프 기반 이벤트 검출 기법

  • 김이나 (충북대학교 빅데이터학과) ;
  • 김민영 (충북대학교 정보통신공학과) ;
  • 임종태 (충북대학교 정보통신공학과) ;
  • 복경수 (충북대학교 정보통신공학과) ;
  • 유재수 (충북대학교 정보통신공학과)
  • Received : 2018.06.14
  • Accepted : 2018.07.03
  • Published : 2018.07.28

Abstract

As the usage of social network services increases, event information occurring offline is spreading more rapidly. Therefore, studies have been conducted to detect events by analyzing social data. In this paper, we propose a graph based event detection scheme considering user interest in social networks. The proposed scheme constructs a keyword graph by analyzing tweets posted by users. We calculates the interest measure from users' social activities and uses it to identify events by considering changes in interest. Therefore, it is possible to eliminate events that are repeatedly posted without meaning and improve the reliability of the results. We conduct various performance evaluations to demonstrate the superiority of the proposed event detection scheme.

Keywords

Event Detection;Social Network;Keyword Graph;Graph Clustering;User Interest

Acknowledgement

Supported by : 한국연구재단, 정보통신기술진흥센터

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