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http://dx.doi.org/10.7472/jksii.2016.17.5.151

Korean Collective Intelligence in Sharing Economy Using R Programming: A Text Mining and Time Series Analysis Approach  

Kim, Jae Won (Graduate School of Information, Yonsei University)
Yun, You Dong (Dept. of Computer Science and Engineering, College of informatics, Korea University)
Jung, Yu Jin (Dept. of Multimedia Science, Sookmyung Women's University)
Kim, Ki Youn (Dept. of Marketing Information Consulting, Mokwon University)
Publication Information
Journal of Internet Computing and Services / v.17, no.5, 2016 , pp. 151-160 More about this Journal
Abstract
The purpose of this research is to investigate Korean popular attitudes and social perceptions of 'sharing economy' terminology at the current moment from a creative or socio-economic point of view. In Korea, this study discovers and interprets the objective and tangible annual changes and patterns of sociocultural collective intelligence that have taken place over the last five years by applying text mining in the big data analysis approach. By crawling and Googling, this study collected a significant amount of time series web meta-data with regard to the theme of the sharing economy on the world wide web from 2010 to 2014. Consequently, huge amounts of raw data concerning sharing economy are processed into the value-added meaningful 'word clouding' form of graphs or figures by using the function of word clouding with R programming. Till now, the lack of accumulated data or collective intelligence about sharing economy notwithstanding, it is worth nothing that this study carried out preliminary research on conducting a time-series big data analysis from the perspective of knowledge management and processing. Thus, the results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of future sharing economy-related markets or consumer behavior.
Keywords
Sharing Economy; Collective Intelligence; Text Mining; Big data; R-programming; Time Series Analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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