Associate Professor & Department Chair, Department of Interaction Science, Sungkyunkwan University
Republic of Korea
Jang Hyun Kim is an associate professor and department chair at Department of Interaction Science, Sungkyunkwan University, South Korea. His research interests include social/semantic networks, data science approach, IT leadership, and future media. His research has been published in Journal of Computer-Mediated Communication, Telecommunications Policy, Government Information Quarterly, Online Information Review, and many others.
He was an Assistant Professor at University of Hawaii at Manoa from 2007 to 2012, Chief Secretary for university president and Assistant Professor at DGIST (2013-2014), and Cyberspace Public Affairs Officer at Korean Air Force (2000-2003). His LIME lab has seven doctoral students, and it is leading in the social media analysis and data science areas in terms of scholarship. To contact Professor Kim, email him at email@example.com.
Research Roundtable: Big Data Analysis
Sunday, 17 January 2016
Big data is a data set (or a methodology) whose potential utility is not yet fully known for its size and it is often considered as population itself or huge data whose size is close to population. However, big data itself has vague definition. How 'big' should a data set be a 'big data'? In addition, general public has difficulties accessing big data. Big data are mainly handled and/or owned by large companies or government offices. Therefore, Kim (2011) proposed an alternative concept to big data: 'appropriate data (AD)'.
AD is inspired by 'appropriate technology (AT) which means that engineers/scientists should develop technologies that are both affordable and efficient. For instance, providing an expensive water purifier set to a typical underdeveloped village is useless because the residents cannot pay for the power bill and filter replacement for the device. As an example of AD study, Kim (2007) was able to predict the emergence of Barack Obama using the intersite hyperlink networks data of United States senators, retrieved in as early as 2005. This was possible because Kim understood that web is a relational and topical medium and those traditional ‘mainstream’ politics theories overlooked the importance of inter-senatorial interactions online and offline. The size of U.S. senators websites was just 100, specifically, 100*100 matrix for measuring their on-the-web interactions and content similarity among those websites. The author of this study attempts to evaluate the validity of semantic and relational data from the web of pacific telecommunication companies to evaluate their images formed by both the companies and general users.
Based on social construction theory, the present study examines how the images of pacific telecommunication companies are formed and changed over time and seeks to find theoretical and practical/policy implications from the analysis.