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http://dx.doi.org/10.7472/jksii.2014.15.6.65

Trend Analysis using Spatial-Temporal Visualization of Event Information based on Social Media  

Oh, Hyo-Jung (Electronics and Telecommunications Research Institute (ETRI))
Yun, Bo-Hyun (Dept. of Computer Education, Mokwon University)
Yoo, Cheol-Jung (Dept. of Software Engineering, Chonbuk National University)
Kim, Yong (Dept. of Library & Information Science, Chonbuk National University)
Publication Information
Journal of Internet Computing and Services / v.15, no.6, 2014 , pp. 65-75 More about this Journal
Abstract
The main focus of this paper is to analyze trend of event informations in a variety of mass media by graphical visualization in axis of the time and location. Especially, continuity analysis based on user-generated social media can reflect the social impact of a certain event according to change time and location and their directional changes. To reveal the characteristics of continuous events, we survey the data set collected from news articles and tweets during two years. Based on case studies on 'disease' and 'leisure', we verify the effectiveness and usefulness of our proposed method. Even though some events occurred during same period, we showed directional changes which have high-impact in social media referred user interest's, compared with fact-based continuous visualization results.
Keywords
Social Media; Information Visualization; Automatic Information Extraction; Trend Analysis;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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