DOI QR코드

DOI QR Code

사회연결망상의 우위와 감성 표현과의 관계 분석: 알츠하이머 웹포럼의 적용

The Analysis on Users' Centrality in the Social Network and their Sentiment : Applying to Medical Web Forum on Alzheimer's Disease

  • 이민정 (세종사이버대학교 경영학과) ;
  • 우지영 (고려대학교 정보보호대학원)
  • Lee, Min-Jung (Dept. of Business Administration, Sejong Cyber University) ;
  • Woo, Ji-Young (Graduate school of information security, Korea University)
  • 투고 : 2015.04.28
  • 심사 : 2015.06.05
  • 발행 : 2015.06.30

초록

본 연구는 알츠하이머에 대한 의료 웹포럼 컨텐츠의 감성 분석과 사회연결망 분석을 연계하여 감성을 표현하는 정도와 사회연결망상의 영향력 사이의 관계를 살펴보았다. 최근 사회가 고령화가 됨에 따라 치매환자는 증가하고 있는데 이에 환자뿐만 아니라 환자 보호자들은 질병에 관한 정보뿐만 아니라 위로를 얻기 위하여 의료 웹포럼을 이용하고 있다. 웹포럼상에서의 정보적/감성적 지지의 형태로 나타나는 사회연결망을 분석한 결과, 네트워크 중앙에 위치한 사용자의 감성표출이 다른 사용자의 감성 표출보다 높게 나타나는 것을 관찰하였다. 또한 긍정적 단어를 많이 사용하는 그룹이 부정적 단어를 많이 사용하는 그룹에 비해 연결중심성 및 보나시치중심성 값이 높게 나타난 것을 확인할 수 있었다. 본 연구는 웹포럼 상의 감성전달에 있어서 일반 사용자에게 큰 영향력을 줄 수 있는 오피니언 리더를 도출하고, 알츠하이머 환자의 우울증을 완화할 수 있는 정책의 일환으로 활용할 수 있을 것이다.

In this study, we aim to analyze the relationship between the centrality in the social network and the sentiment of medial web forum users. In recent, many people use online resources to obtain health and wellness information especially social media resources. In the medial web forum, people give and receive informational supports and emotional supports and this interaction forms the social network. We analyze the social network, derive node characteristics in terms of centrality and compare the centrality index and the sentiment score derived from users' messages. We found that as more people express their emotion, they possess higher central position in the network. Further, people who express positive emotion in their messages have higher central position in the network than people who have negative emotion. This study will help to identify influentials of emotional supports to others and finally to control the depression of Alzheimer's disease patients and their related ones.

키워드

참고문헌

  1. Global Internet Usage, http://www.internetlivestats.com/internet-users/
  2. Internet User Demographics, http://www.pewinternet.org/data-trend/internet-use/latest-stats/
  3. W. Suh, N. Syamsul, J. Hong and J. Park, "An Exploratory Study on Employee Use of Social Media and Policy: Focused on Facebook", The Journal of Business and Economics, Vol. 28, No. 2, pp. 131-159, 2012.
  4. S. Hong , Y. Chung and J. Lee, "Semi-supervised learning for sentiment analysis in mass social media", Journal of Korean Institute of Intelligent Systems, Vol. 24, No. 5. pp. 482-488, 2014. https://doi.org/10.5391/JKIIS.2014.24.5.482
  5. J. Dang and S. Lee, "Health Care and Social Media :Building relationships via Social Networks", Korean journal of hospital management, Vol 17. No. 3, pp. 99-109, 2014.
  6. E. Nolte, M. McKee (Eds.), "Caring for People with Chronic Conditions - A Health System Perspective", McGraw-Hill International, 2008.
  7. N. Elkin, How America searches: health and wellness, iCrossing 2008.
  8. T. Lee and Y. Jang, "IT Convergence Research Trends of Health Care, HEALTH.WELFARE POLICYFORUM", Korea Institute for Health and Social Affairs, vol. 03 pp. 36-49, 2014.
  9. T. H. Van De Belt, L. J. Engelen, S. A. Berben, and L. Schoonhoven, "Definition of Health 2.0 and Medicine 2.0: A Systematic Review", J. of Medical Internet Research. Vol. 12, No. 2, e18, 2010. https://doi.org/10.2196/jmir.1350
  10. Differences among Discussion Boards, http://www.adelaide.edu.au/myuni/staff/resources/tutorials/content/Differences_between_Discussion_Boards__Blogs_and_Wikis.html
  11. J. Woo, M. Lee, Y. Ku, and H. Chen, "Modeling the dynamics of medical information through web forums in medical industry", Technological Forecasting and Social Change, In press, 2013.
  12. J. Woo and M. Lee, "The Informative Support and Emotional Support Classification Model for Medical Web Forums using Text Analysis", Korea Society of IT Serviecs. Vol. 11, pp. 139-152. 2012. https://doi.org/10.9716/KITS.2012.11.sup.139
  13. http://www.hani.co.kr/arti/society/rights/686880.html
  14. H. Jeong, S. Ji, H. Yang, K. Kim and K. Kim, "Measuring Influence of Social Networks based on Sentiment Analysis", Proceedings of Korean Association of Computer Education, Vol. 19, No. 1, 2015.
  15. S. Cobb, "Social support as a moderator of life stress, Psychosom". Med. Vol. 38 pp. 300-314, 1976. https://doi.org/10.1097/00006842-197609000-00003
  16. J.S. House, C. Robbins, H.L. Metzner, "The association of social relationshipsand activities with mortality: prospective evidence from the Tecumseh Community Health Study", Am. J. Epidemiol, Vol. 116, No.1, pp. 123-140, 1982. https://doi.org/10.1093/oxfordjournals.aje.a113387
  17. N.S. Coulson, H. Buchanan and A. Aubeeluck, "Social support in cyberspace: a content analysis of communication within a Huntington's disease online support group", Patient Educ. Couns. Vol. 68, No. 2, pp. 173-178, 2007. https://doi.org/10.1016/j.pec.2007.06.002
  18. N.S. Coulson, "Receiving social support online: an analysis of a computer-mediated support group for individuals living with irritable bowel syndrome", Cyberpsychol. Behav., Vol. 8, pp. 580-584, 2005. https://doi.org/10.1089/cpb.2005.8.580
  19. M.D. Wenrich, J.R. Curtis, D.A. Ambrozy, J.D. Carline, S.E. Shannon and P.G. Ramsey, "Dying patients' need for emotional support and personalized care from physicians: perspectives of patients with terminal illness, families, and health care providers", J. Pain Symptom Manag. Vol. 25 No. 3, pp. 236-246, 2003. https://doi.org/10.1016/S0885-3924(02)00694-2
  20. J. Georges, S. Jansen, J. Jackson, and et al. "Alzheimer's disease in real life - the dementia carer's survey", Int J Geriatr Psychiatry, Vol. 23, No. 5, pp 546-551, 2008. https://doi.org/10.1002/gps.1984
  21. H. Cho, Y. Chung, J. Lee and J. Lee, "Sentiment Analysis Using News Comments for Public Opinion Mining", Proceedings of KIISSpring Conference, Vol. 23, No. 1, 2013.
  22. D. Lee, H. Kang, S. Kim and C. Lee, "Autocorrelation Analysis of the Sentiment with Stock Information Appearing on Big-Data", The Korean Journal of Financial Engineering, Vol. 12 No. 2, pp. 79-96, 2013.
  23. J. Yeon, D. Lee, J. Shim and S. Lee, "Product Review Data and Sentiment Analytical Processing Modeling", The Jounal of Society for e-Business Studies", Vol. 16 No. 4, 2011.
  24. S. Kweon and Y. Choi, "Rating Analyses Used Big Data-Empathy Word in Network Analysis Method", Proceedings of KOREA INFORMATION SCIENCE SOCIETY, 2014.
  25. J. Bollen, H. Mao, and X.J. Zeng, "Twitter Mood Predicts the Stock Market", Journal of Computational Science, Vol. 2 No. 1, pp, 1-8, 2010. https://doi.org/10.1016/j.jocs.2010.12.007
  26. B. Malcolm, and J. Wurgler "Investor Sentiment in the Stock Market", Journal of Economic Perspectives, Vol 21, pp, 129-151, 2007. https://doi.org/10.1257/jep.21.2.129
  27. Y. Kim, S. Jeong, S. Lee, "A Study on the Stock Market Prediction Based on Sentiment Analysis of Social Media", Entrue Journal of Information Technology, Vol, 13, No, 3, pp. 59-69, 2014.
  28. M. Park, M. Cha, and C. Cha, "Depressive moods captured in Twitter, an online social network", In Proc. of the 1st Congress for Qualitative Health Research, 2011.
  29. H. Choi, E. Hwang. "Emotion-based Music Recommendation System based on Twitter Document Analysis." Journal of KISS (C): Computing Practices and Letters, Vol. 18, No. 11, pp. 762-767, 2012
  30. R. Feldman, "Techniques and applications for sentiment analysis", Communications of the ACM, Vol. 56, no. 4, pp. 82-89, 2013. https://doi.org/10.1145/2436256.2436274
  31. General Inquirer, http://www.wjh.harvard.edu/inquirer/
  32. G. Psathas, "The general inquirer: Useful or not?", Computers and the Humanities, Vol. 3, No. 3, pp. 163-174, 1969. https://doi.org/10.1007/BF02401609
  33. P.J. Stone, D.C. Dunphy, M.S. Smith, andD.M. Ogilvie, "The General Inquirer: Acomputer approach to content analysis.Cambridge", MA: MIT Press. 1966.
  34. T. Loughran, and B. McDonald, "When is a liability not a liability? Textual analysis, dictionaries, and 10‐Ks", The Journal of Finance, Vol. 66 No. 1 pp. 35-65, 2011. https://doi.org/10.1111/j.1540-6261.2010.01625.x
  35. M. Guerini, L. Gatti and M. Turchi, "Sentiment analysis: How to derive prior polarities from SentiWordNet", arXiv preprint arXiv:1309.5843, 2013.
  36. J. H. Fowler and N. A. Christakis, "Estimating peer effects on health in social networks: A response to Cohen-Cole and Fletcher; and Trogdon, Nonnemaker, and Pais", Journal of health economics, Vol. 27, No. 5, pp.1400-1405, 2008. https://doi.org/10.1016/j.jhealeco.2008.07.001
  37. W. Lee, M. Cha, and H. Yang, "Network characteristics of influentials in social media." Journal of Communication Research, Vol. 48, No. 2, pp. 44-79, 2011. https://doi.org/10.22174/jcr.2011.48.2.44
  38. Y. Ki, J. Woo, and H.K. Kim, "Identifying spreaders of malicious behaviors in online games", In Proceedings of the companion publication of the 23rd international conference on World wide web companion pp. 315-316,2014.
  39. M.S. Kim, and W.S. Woo, "Analysis of SNS(Social Networking Service) functions applicable to electronic commerce for building regular relationship with customers", Journal of the Korea society of computer and information ,Vol. 20 No. 4, pp.131-138, 2015 https://doi.org/10.9708/jksci.2015.20.4.131
  40. M.J. Lee, J.W. Kim, "Design and Implementation of the Menu Navigation using Social Network Analysis among the Menus of Management Information System", Journal of the Korea society of computer and information, Vol. 19, No. 9, pp. 151-160, 2014 https://doi.org/10.9708/jksci.2014.19.9.151
  41. Y. Kim, Social Network Anaysis, Pakyoungsa, 2011.
  42. P. Bonacich, "Power and centrality: A family of measures", American journal of sociology, pp.1170-1182, 1987.
  43. J. Donath, and D. Boyd, "Public displays of connection", BT Technology Journal, Vol. 22, No. 4, pp. 71-82, 2004. https://doi.org/10.1023/B:BTTJ.0000047585.06264.cc
  44. B. Wellman, A.Q. Haase, and J. Witte, and K. Hampton, "Does the Internet increase, decrease, or supplement social capital? Social networks, participation, and community commitment," American Behavioral Scientist,Vol. 45, No. 3, pp. 436, 2001. https://doi.org/10.1177/00027640121957286
  45. R. Rose, "How much does social capital add to individual health?", Social science & medicine, Vol. 51, No. 9, pp. 1421-1435, 2000. https://doi.org/10.1016/S0277-9536(00)00106-4
  46. C. Steinfield, N.B. Ellison, and C, Lampe, "Social capital, self-esteem, and use of online social network sites: A longitudinal analysis", Journal of Applied Developmental Psychology, Vol. 29, No. 6, pp. 434-445, 2008. https://doi.org/10.1016/j.appdev.2008.07.002
  47. S. Park, S.W. Lee, J. Kwak, and M. Cha, & B. Jeong, B, "Activities on Facebook reveal the depressive state of users", Journal of medicalInternet research, Vol. 15, No. 10, 2013.