한국조리학회지 (Culinary science and hospitality research)

  • 제23권3호
  • /
  • Pages.257-270
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  • 2017
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  • 2466-0752(pISSN)
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  • 2466-1023(eISSN)
한국조리학회 (Culinary Society of Korean Academy)
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전시컨벤션센터 식품박람회와 관련된 빅데이터의 의미연결망 분석

A Semantic Network Analysis of Big Data regarding Food Exhibition at Convention Center

  • 김학선 (경성대학교 호텔관광외식경영학과)
  • Kim, Hak-Seon (Dept, of Foodservice Management, Kyungsung University)
  • 투고 : 2017.04.06
  • 심사 : 2017.04.21
  • 발행 : 2017.04.30
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초록

The purpose of this study was to visualize the semantic network with big data related to food exhibition at convention center. For this, this study collected data containing 'coex food exhibition/bexco food exhibition' keywords from web pages and news on Google during one year from January 1 to December 31, 2016. Data were collected by using TEXTOM, a data collecting and processing program. From those data, degree centrality, closeness centrality, betweenness centrality and eigenvector centrality were analyzed by utilizing packaged NetDraw along with UCINET 6. The result showed that the web visibility of hospitality and destinations was high. In addition, the web visibility was also high for convention center programs, such as festival, exhibition, k-pop and event; hospitality related words, such as tourists, service, hotel, cruise, cuisine, travel. Convergence of iterated correlations showed 4 clustered named "Coex", "Bexco", "Nations" and "Hospitality". It is expected that this diagnosis on food exhibition at convention center according to changes in domestic environment by using these web information will be a foundation of baseline data useful for establishing convention marketing strategies.

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