DOI QR코드

DOI QR Code

Tendency and Network Analysis of Diet Using Big Data

빅데이터를 활용한 다이어트 현황 및 네트워크 분석

  • Jung, Eun-Jin (Dept. of Food & Nutrition, Dongduk Women's University) ;
  • Chang, Un-Jae (Dept. of Food & Nutrition, Dongduk Women's University)
  • 정은진 (동덕여자대학교 식품영양학과) ;
  • 장은재 (동덕여자대학교 식품영양학과)
  • Received : 2016.10.06
  • Accepted : 2016.10.19
  • Published : 2016.11.02

Abstract

Limitation of a questionnaire survey which is widely used is time and money, limited numbers of participants, biased confidence interval and unreliable results. To overcome these, we performed tendency and network analysis of diet using big Data in Koreans. The keyword on diet were collected from the portal site Naver from January 1, 2015 until December 31, 2015 and collected data were analyzed by simple frequency analysis, N-gram analysis, keyword network analysis and seasonality analysis. The results showed that diet menu appeared most frequently by N-gram analysis, even though exercise had the highest frequency by simple frequency analysis. In addition, keyword network analysis were categorized into four groups: diet group, exercise group, commercial diet program company group and commercial diet food group. The analysis of seasonality showed that subjects' interests in diet had increased steadily since February, 2015, although subjects were most interested indiet in July, these results suggest that the best strategies for weight loss are based on diet menu and starting diet before July. As people are especially sensitive to diet trends, researches are needed about annual analysis of big data.

Keywords

References

  1. 마경근 (2015): 빅데이터를 활용한 과학적 행정구현. 지역정보화지 91:14-19
  2. Ahn HJ (2012): Extraction of keywords from brand images texts using network analysis. JKIIT 10(2):176-182
  3. Ahn MS, Oh IK (2015): Analysis of attitudes on using five-star hotel packages applying network text analysis method. JKASTM 30(5)163-181
  4. Alreck PL, Settle RB (2004): The survey research handbook. 3rd ed. McGraw-hill/Irwin press. Boston. pp.3-55
  5. Boynton PM, Greenhalgh TA (2004): Selecting, designing, and developing your questionnaire. BMJ 328(7451):1312-1315 https://doi.org/10.1136/bmj.328.7451.1312
  6. Chang U, Ha J, Hong W (2004): The trial status and expectation degree on internet diet program by female university students : focused on trial status. J Korean Diet Assoc 10(3):356-363
  7. Choi HJ (2015): A comparative study of Korean and Japanese female college students' body image, dieting methods and exercise habits: focusing on comparison among local female college students. J Korean Soc Living Environ Sys 22(6): 927-939 https://doi.org/10.21086/ksles.2015.12.22.6.927
  8. Diesner J, Carley KM (2004): Causal mapping for research information technology. Idea Group Publishing. London. pp.81-83
  9. Han JY, Cho JH, Jang JB, Lee KS (2004): The effects of the diary for diet and exercise in hospital with lipodren and auricular accupuncture therapy on the treatment of obesity. J Korean Med Obes Res 4(1):213-219
  10. Herman CP, Polivy J (1988): Psychological factors in the control of appetite. Curr Concepts Nutr 16:41-51
  11. Hwang MG, Choi DJ, Lee HG, Choi C, Ko BK, Kim PK (2012): Domain N-gram construction and its application. JKIISE 37(2):47-51
  12. Jeon CH, Choi HK (2005): Implementation of respondent-based real-time survey system using XML. JKIISE 30(1):648-650
  13. Jung A, Ryu H, Song K, Lee H (2015): A comparison of dietary habits, weight control behaviors, eating disorder risk, and depression of middle school girls according to various stages of dieting. Korean J Community Nutr 20(3):178-187 https://doi.org/10.5720/kjcn.2015.20.3.178
  14. Kang SJ (2013): A study on direction for application of big data in design. JKSDC 19(3):1-12
  15. Kim JW (2015): Emart, when early diet products special. Available from: http://www.enewstoday.co.kr/news/articleView.html?idxno=382183. Accessed September 16, 2016
  16. Kim MH, Kim YJ, Chung JS, Yeon JY (2015): Fad diet status of male and female collegians. Korean J Food Nutr 28(2): 258-268 https://doi.org/10.9799/ksfan.2015.28.2.258
  17. Koh BK, Yoon JS (2003): Current tendency of middle school students of get the food and nutrition information from the internet web site. J Korean Soc Food Sci Nutr 32(1):102-108 https://doi.org/10.3746/jkfn.2003.32.1.102
  18. Kwak SH, Jung EC (2015): Understanding diet behavior : focusing on the expanded theory of planned behaviors. J Commun Sci 15(4):5-56
  19. Lee JS (2003): A study of female college students' behavior and ideal breakfast types. Korean J Food Culture 18(5):466-474
  20. Lee JY, Chang UJ (2016): Development scenario of dietary intake survey using internet of things (IoT). J Korean Diet Assoc 22(3)225-231 https://doi.org/10.14373/JKDA.2016.22.3.225
  21. Lee OJ, Park SB, Chung DU, You ES (2014): Movie box-office analysis using social big data. J Contests Assoc 14(10):1-12
  22. Lee YM (2015): Year-end is free diet...snacks for sale${\uparrow}$.diet products${\downarrow}$. Available from: http://www.yonhapnews.co.kr/bulletin/2015/12/07/0200000000AKR20151207179900030.HTML?input=1195m. Accessed September 16, 2016
  23. Moon JY (2013): A study of the intellectual structure of secretarial studies using network analysis. J Secr Sci 22(1):125-145
  24. Pack HJ (2004): Various diet methods currently in vogue among the individual. Korean J Obes 8:470-471
  25. Seol HS, Chung TH (2000): A study on methods estimating standard errors using replicated sampling. J Korean Educ 27(1):98-111
  26. Shin MY (1997): A process that mass-media affects dieting and eating disorder of young women. Masters degree thesis. Kangwon National University. pp.4-5
  27. Stroebele N, De Castro JM (2004): Effect of ambience on food intake and food choice. Nutrition 20(9):821-838 https://doi.org/10.1016/j.nut.2004.05.012
  28. Turner S (1996): A healthy weight-loss program includes provider involvement and client acceptance. Nurse Pract 21(4): 161-162
  29. Van JO (2007): Food attitude and food behavior of female consumers according to their lifestyle. Doctors degree thesis. Kyonggi University. pp.61-64
  30. Wasserman S, Faust K (1994): Social network analysis : methods and applications. Cambridge University Press. Cambridge. pp.370-374
  31. Won HS, Lee HJ, Kwak JS, Kim JH, Kim MK, Kwon OR (2012): Study on purchase and intake patterns of individuals consuming dietary formula for weight control or health/functional foods. Korean J Nutr 45(6):541-551 https://doi.org/10.4163/kjn.2012.45.6.541
  32. World Economic Forum (2012): The top 10 emerging technologies for 2012. Available form: https://www.weforum.org/agenda/2012/02/the-2012-top-10-emerging-technologies/. Accessed September 1, 2016

Cited by

  1. The Analysis of a Diet for the Human Being and the Companion Animal using Big Data in 2016 vol.6, pp.4, 2017, https://doi.org/10.7762/cnr.2017.6.4.256