R프로그래밍을 활용한 공유경제의 한국인 집단지성: 텍스트 마이닝 및 시계열 분석 Korean Collective Intelligence in Sharing Economy Using R Programming: A Text Mining and Time Series Analysis Approach원문보기
본 연구의 목적은 최근 창조경제 또는 사회적 경제 관점에서 주목받고 있는 공유경제라는 키워드에 관해 현대 한국인들이 가지고 있는 대중적인 문화 및 사회적 인식, 즉 집단지성의 변화 추세를 조사하는 것이다. 이를 위해, 본 연구는 빅데이터 분석 관점의 텍스트 마이닝 기법을 적용하여 최근 5년 간 사회 문화적 집단지성의 객관적이고 가시적인 연간 변화 및 패턴들을 발견하고 이해하고자 한다. 월드 와이드 웹에서 크롤링(crawling) 기법과 구글링(googling)을 통해 분석에 필요한 2010년부터 2014년까지 축적된 상당한 양의 공유경제를 주제로 한 기존 문헌들의 시계열 웹 메타 데이터를 수집하였다. 결과적으로, 많은 양의 가공되지 않은 공유경제 키워드 관련 원 자료들은 R프로그래밍 분석을 통해 보다 의미 있는 가치 있는 '워드 클라우딩' 형태의 그래프나 그림으로 분석처리 되었다. 아직까지 시기적으로 공유경제에 관해 축적된 자료나 집단지성이 양적으로 미비함에도 불구하고, 본 연구는 지식처리 관점에서 시계열 빅데이터 분석을 수행한 선행연구라는 점에서 의미가 있다. 따라서 본 연구의 결과는 향후 산학 분야에서 공유경제 관련 시장분석과 소비자 행동학 관련 후속 연구들을 위해 1차 자료로서 학문적 시사점을 제공할 수 있다.
본 연구의 목적은 최근 창조경제 또는 사회적 경제 관점에서 주목받고 있는 공유경제라는 키워드에 관해 현대 한국인들이 가지고 있는 대중적인 문화 및 사회적 인식, 즉 집단지성의 변화 추세를 조사하는 것이다. 이를 위해, 본 연구는 빅데이터 분석 관점의 텍스트 마이닝 기법을 적용하여 최근 5년 간 사회 문화적 집단지성의 객관적이고 가시적인 연간 변화 및 패턴들을 발견하고 이해하고자 한다. 월드 와이드 웹에서 크롤링(crawling) 기법과 구글링(googling)을 통해 분석에 필요한 2010년부터 2014년까지 축적된 상당한 양의 공유경제를 주제로 한 기존 문헌들의 시계열 웹 메타 데이터를 수집하였다. 결과적으로, 많은 양의 가공되지 않은 공유경제 키워드 관련 원 자료들은 R프로그래밍 분석을 통해 보다 의미 있는 가치 있는 '워드 클라우딩' 형태의 그래프나 그림으로 분석처리 되었다. 아직까지 시기적으로 공유경제에 관해 축적된 자료나 집단지성이 양적으로 미비함에도 불구하고, 본 연구는 지식처리 관점에서 시계열 빅데이터 분석을 수행한 선행연구라는 점에서 의미가 있다. 따라서 본 연구의 결과는 향후 산학 분야에서 공유경제 관련 시장분석과 소비자 행동학 관련 후속 연구들을 위해 1차 자료로서 학문적 시사점을 제공할 수 있다.
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 ...
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.
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.
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
문제 정의
The purpose of this study is to explore trends and patterns of related terms and keywords of the sharing economy by year through the text mining method from a big data analytical perspective. With regard to the topic of the sharing economy, the word cloud of related words showed social consumers’ awareness of this new idea in depth.
This study is dealing with a topic of sharing economy which was introduced recently in Korea collecting and analyzing data. Still it’s an unfamiliar economic system and word-clouds of 2012, 2013 and 2014 show little changes on the whole.
Based on collected data, data related to the sharing economy was examined by word-cloud. Through analyzing the increase in the amount of data from year to year, this paper will examine the level of interest in the sharing economy. It will also analyze the changes in issues from year to year by examining the top 5 key-words from 2012 to 2014.
제안 방법
In this paper, every data about sharing economy was quoted from blog, web, article and etc to collect data with Crawling technique. After collecting data about sharing economy, preconditioning process of data was conducted focusing on words and roots with Hangul 2010 program after deleting all endings and postpositions of data. After this process, the collected data were converted into a CSV file and analyzed with R Script.
After this process, the collected data were converted into a CSV file and analyzed with R Script. The analysis employed visualizing the frequency of the key-words from the data in forms of Word-cloud.
Recently serious changes in Korean sharing economy have discovered changes in; Korean collective intelligence and social concerns. The results of the study can offer suggestions with respect to sharing economy activation policies or business model strategies.
And good sharing economy services and enterprises will also be prospective in the future as well. 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.
참고문헌 (25)
B. J. Kang, "Applied research of social enterprise shared economic system," The Korean Association for Policy Studies v.2012, No. 4, pp. 107-134, 2012 http://kiss.kstudy.com/journal/thesis_name.asp?key3125928
C. W. Lim et al., "Shared value growth and the relational state model as a response to the global financial crisis in 2008," Administration Collection of Writings, Vol. 50, No. 3, pp. 295-326, 2012 http://kiss.kstudy.com/journal/thesis_name.asp?tnamekiss2002&key3098001
T. H. No., "A Case Study : ICT and the Region-based Sharing Economy of a Start-up Social Enterprise," Information systems review, Vol. 18, No. 1, pp. 157-175, 2016. http://dx.doi.org/10.14329/isr.2016.18.1.157
Y. Choi et al., "Effects of digital cultural capital on the perception of sharing economy," Korean Journal of Communication Studies, Vol. 21, No. 1, pp. 89-110, 2013. http://kiss.kstudy.com/journal/thesis_name.asp?tnamekiss2002&key3137287
K. Y. Kim et al., "A study on consumer preference typologing toward sharing economy service models based on collaborative consumption: A strategic approach to marketing communications," Korean Society for the Scientific Study of Subjectivity, no. 27, pp. 23-40, 2013. http://www.dbpia.co.kr/Article/NODE02385077
Nipa(National IT Industry Promotion Agency), "The essence of this sharing economy by 'UBER' taxi and sharing bicycle 'LOCK8'," Weekly Technical Trends, No. 1641, pp. 27-34, 2014.
G. S. Jeong et al., "The Study of Availability and Factor Analysis on Car-Sharing for Sharing Economy," Korean Comparative Government Review, Vol. 19, No. 3, pp. 105-124, 2015. http://dx.doi.org/10.18397/kcgr.2015.19.3.105
E. S. O et al., "A Study on General Sharing Behaviors in SNS," Journal of Digital Disign, Vol. 15, No. 4, pp. 191-198, 2015. http://www.dbpia.co.kr/Article/NODE06578686
S. W. Shin, "Business model of design social enterprise for shared values," International Design school for Advanced Studies, Vol. 12, No. 6, pp. 383-401, 2013. http://www.dbpia.co.kr/Article/NODE02340650
S. W. Kim et al., "Shared value creation and consumerism," Korean Society of Consumer Studies Conference, Vol. 2014, No. 5, pp. 196-201, 2014. http://kiss.kstudy.com/journal/thesis_name.asp?key3352096
K. Y. Hwang et al., "Applying sharing economy principle on transport with focus on car sharing practice and research," Transportation Research, Vol. 21, No. 1, pp. 35-49, 2014. http://www.dbpia.co.kr/Article/NODE02410064
H. N. Maeng et al., "A Study on gamification and the evolution of sharing economy: Focused on 5 sharing economy-based websites," HCI Korea, Vol. 2014, No. 2, pp. 485-488, 2014. http://www.dbpia.co.kr/Article/NODE02374657
Y. M. Lee, "A study on the smart work center model based on the sharing economy wsing the BMC," The Korea Database Society v. 20, No. 4, pp. 165-189, 2013. http://www.dbpia.co.kr/Article/NODE02365045
J. Y. Yang, "Youth job creation measures through the activation of shared economic," Korea Employment Information Service, 2013 http://www.keis.or.kr/user/extra/main/2103/publication/reportList/jsp/LayOutPage.do?categoryIdx130&pubIdx1991&reportIdx3415
N. W. Kwack, "'Sharing city seoul' and a sharing city of 'Global agora'," Marxism 21, Vol. 10, No. 3, pp. 146-171, 2013. http://www.dbpia.co.kr/Article/NODE02228947
Jeremy Rifkin, "The age of access," Minumsa, 2001
Y. M. Kwon , "South Korea smartphone penetration, Second place in the IT developed countries," Asia Economy, 2014. http://www.asiae.co.kr/news/view.htm?idxno2014071617560046942
S. W. Yang, "The economy of sharing the space has," Architectural Institute of Korea, Vol. 57, No. 11, pp. 10-13, 2013. http://www.dbpia.co.kr/Article/NODE02274130
S. Y. Lee et al, "Research on Key Success Factors of Social Authoring system : Focused on Linux and Wikipedia" Review of Korean Society for Internet Information, Vol. 13. No. 4, pp. 73-82, 2012. http://dx.doi.org/10.7472/jksii.2012.13.4.73
Levy, P., "L' Intelligence collective : pour une anthropologie du cyberspace", La Decouverte, 1997.
J. C. Park et al, "Measures to take advantage of the collective intelligence of the Web 2.0 platform" Review of Korean Society for Internet Information, Vol. 8. No. 2, pp. 15-20, 2007. http://www.dbpia.co.kr/Article/NODE00903599
Policy Research Division Convergence Policy Research Department, "Meet the new consumer culture and IT, 'Sharing economy'," Trends and Prospects: broadcasting, telecommunications, radio No. 67, pp. 33-45, 2013. http://nbtc.tta.or.kr/board/index.html?actionview&board_idpds_a&seq337
A. R. Kwon, "Suggest point and outlook of the shared economic growth associated with the development of IT business," KDB Bank, 2013 http://rd.kdb.co.kr/er/wcms.do?actionIdADERERERWCE03&contentPage/er/er/er/ERER27I00012_01RS.jsp
J. H. Lee et al, "Next-generation information mining trends" Review of Korean Society for Internet Information, Vol. 7, No. 1, pp. 53-66, 2006 http://www.dbpia.co.kr/Article/NODE00825419
C. W. Jeong, "Analysis of trend in construction using text-mining method," Journal of The Korean Digital Architecture . Interior Association, Vol. 12. No. 2, pp. 53-60, 2012. http://www.dbpia.co.kr/Article/NODE01925709
※ AI-Helper는 부적절한 답변을 할 수 있습니다.