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http://dx.doi.org/10.7583/JKGS.2012.12.3.77

A Visual Analytics System for Analyzing Social Networking Patterns among Microbloggers  

Koo, Yun-Mo (Dept. of Computer Science and Information, Myongji College)
Lee, Jeong-Jin (Dept. of Digital Media, The Catholic University of Korea)
Seo, Jin-Wook (Dept. of Computer Science and Engineering, Seoul National University)
Publication Information
Journal of Korea Game Society / v.12, no.3, 2012 , pp. 77-86 More about this Journal
Abstract
In recent years, micro-blogging services such as 'Twitter' and 'Me2day' have rapidly become major social networking services. However, it is difficult to grasp the relationship between a user and his/her friends in these micro-blogging services because they simply list messages between them in chronological order. In this paper, we propose a visual analytics system that can help the user intuitively understand relationships with their friends on micro-blogging services by enabling them to analyze the messages quantitatively, qualitatively and temporally. In the visual analytics system, we also present a tool to provide the user with valuable advices after classifying the changing relation patterns with his/her friends, which in turn contributes to improving relationships with friends. The proposed system was successfully implemented as smartphone applications to show its potential to be a tool for analyses and improvement of social relations in micro-blogging services.
Keywords
micoblogs; social networking service; human relations;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
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