Browse > Article
http://dx.doi.org/10.9717/kmms.2012.15.7.910

Analyzing the Credibility of the Location Information Provided by Twitter Users  

Lee, Bum-Suk (가톨릭대학교)
Kim, Seok-Jung (가톨릭대학교 컴퓨터공학과)
Hwang, Byung-Yeon (가톨릭대학교 컴퓨터정보공학부)
Publication Information
Abstract
We have observed huge success in social network services like Facebook and Twitter, and many researchers have done their analysis on these services. As massive data observed by users is produced on Twitter, many researchers have been conducting research to detect an event on Twitter. Some of them developed a system to detect the earthquakes or to find the local festivals. However, they did not consider the credibility of location information on Twitter although their systems were using the location information. In this paper, we analyze the credibility of the profile location and the correlation between the spatial attributes on Twitter as the preliminary research of the event detection system on Twitter. We analyzed 0.5 million Twitter users in Korea and 2.8 million users around the world. 49.73% of the users in Korea and 90.64% of the users in the world posted tweets in their profile locations. This paper will be helpful to understand the credibility of the spatial attributes on Twitter when the researchers develop an application using them.
Keywords
Social Network Analysis; Twitter; Location Information;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 A. Chowdhury, Global Pulse, http://blog.twitter.com/2011/06/global-pulse.html, 2011.
2 N. K. Cheblb and R. M. Sohall, "The Reasons Social Media Contributed to the 2011 Egyptian Revolution," Int'l Journal of Business Research and Management, Vol. 2, Issue 3, pp. 139-162, 2011.
3 T. Sakaki, M. Okzaki, and Y. Matsuo, "Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors," Proc. of the 19th Int'l Conf. on World Wide Web, pp. 851-860, 2010.
4 M. Nagarajan, K. Gomadam, A. P. Sheth, A. Ranabahu, R. Mutharaju, and A. Jadhav, "Spatio-Temporal-Thematic Analysis of Citizen Sensor Data: Challenges and Experiences," Proc. of the 10th Int'l Conf. on Web Information Systems Engineering, LNCS, Vol. 5802, pp. 539-553, 2009.
5 J. Russell, Japan Overtakes Indonesia as Biggest Twitter User in Asia, http://www.asiancorrespondent.com, 2011.
6 황경상, 트위터 사용자 늘고 '상위 1%' 집중도 심화, http://wkh.kr/uWi4Pj, 경향신문, 2011.
7 ITU, ITU Measuring the Information Society 2011, http://www.itu.int/ITU-D/ict/, International Telecommunication Union, 2011.
8 방송통신위원회, 2011년도 국정감사 서면질의 답변서, http://www.kcc.go.kr, 방송통신위원회, 2011.
9 이범석, 김석중, 최우성, 장경훈, 윤진영, 황병연, "트위터에서 사용자 위치와 트윗 작성위치의 관계분석," 제28회 한국멀티미디어학회 추계학술대회논문집, 제14권, 제2호, pp. 1-3, 2011.
10 R. Lee and K. Sumiya, "Measuring Geographical Regularities of Crowd Behaviors for Twitter-based Geo-social Event Detection," Proc. of the 2nd ACM SIGSPATIAL Int'l Workshop on Location Based Social Networks, pp. 1-10, 2010.
11 Bumsuk Lee and Byung-Yeon Hwang, "A Study of the Correlation between the Spatial Attributes on Twitter," Proc. of the 28th IEEE Int'l Conf. on Data Engineering Workshop on Spatio Temporal data Integration and Retrieval, 2012.
12 Version 1.0 야후! 주소 ${\leftrightarrow}$ 좌표 변환 API, http://kr.open.gugi.yahoo.com/document/geocooder.php, 2011.
13 이중기, 김창수, "스마트폰 앱기반 재난정보 서비스 및 검색기능 구현", 멀티미디어학회논문지, 제15권, 제2호, pp. 273-290, 2012.   과학기술학회마을   DOI
14 List of sovereign states and dependent territories by population density, http://en.wikipedia.org/wiki/List_of_sovereign_states_and_dependent_territories_by_population_density, 2012.
15 윤혜진, 창병모, "위치 인식을 이용한 음식점 추천 시스템의 설계 및 구현", 멀티미디어학회논문지, 제14권, 제1호, pp. 112-120, 2011.   과학기술학회마을