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http://dx.doi.org/10.9708/jksci.2015.20.6.127

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

Lee, Min-Jung (Dept. of Business Administration, Sejong Cyber University)
Woo, Ji-Young (Graduate school of information security, Korea University)
Publication Information
Journal of the Korea Society of Computer and Information / v.20, no.6, 2015 , pp. 127-140 More about this Journal
Abstract
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.
Keywords
Sentiment analysis; Social network analysis; Alzheimer's disease; Medical web forum;
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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.   DOI   ScienceOn
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.   DOI   ScienceOn
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.   DOI   ScienceOn
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 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.   DOI   ScienceOn
16 S. Cobb, "Social support as a moderator of life stress, Psychosom". Med. Vol. 38 pp. 300-314, 1976.   DOI
17 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.   DOI
18 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.   DOI   ScienceOn
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.   DOI   ScienceOn
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.   DOI   ScienceOn
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 withStock Information Appearing on Big-Data", TheKorean Journal of Financial Engineering, Vol.12 No. 2, pp. 79-96, 2013.
23 B. Malcolm, and J. Wurgler "Investor Sentimentin the Stock Market", Journal of EconomicPerspectives, Vol 21, pp, 129-151, 2007.   DOI   ScienceOn
24 J. Yeon, D. Lee, J. Shim and S. Lee, "ProductReview Data and Sentiment AnalyticalProcessing Modeling", The Jounal of Society fore-Business Studies", Vol. 16 No. 4, 2011.
25 S. Kweon and Y. Choi, "Rating Analyses UsedBig Data-Empathy Word in Network AnalysisMethod", Proceedings of KOREAINFORMATION SCIENCE SOCIETY, 2014.
26 J. Bollen, H. Mao, and X.J. Zeng, "TwitterMood Predicts the Stock Market", Journal ofComputational Science, Vol. 2 No. 1, pp, 1-8,2010.   DOI
27 Y. Kim, S. Jeong, S. Lee, "A Study on the StockMarket Prediction Based on Sentiment Analysisof Social Media", Entrue Journal of InformationTechnology, Vol, 13, No, 3, pp. 59-69, 2014.
28 M. Park, M. Cha, and C. Cha, "Depressivemoods captured in Twitter, an online socialnetwork", In Proc. of the 1st Congress forQualitative Health Research, 2011.
29 H. Choi, E. Hwang. "Emotion-based MusicRecommendation System based on TwitterDocument Analysis." Journal of KISS (C):Computing Practices and Letters, Vol. 18, No.11, pp. 762-767, 2012
30 R. Feldman, "Techniques and applications forsentiment analysis", Communications of theACM, Vol. 56, no. 4, pp. 82-89, 2013.   DOI
31 General Inquirer, http://www.wjh.harvard.edu/inquirer/
32 G. Psathas, "The general inquirer: Useful ornot?", Computers and the Humanities, Vol. 3, No. 3, pp. 163-174, 1969.   DOI
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 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.   DOI
35 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.   DOI
36 M. Guerini, L. Gatti and M. Turchi, "Sentiment analysis: How to derive prior polarities from SentiWordNet", arXiv preprint arXiv:1309.5843, 2013.
37 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.   DOI   ScienceOn
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   DOI
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   DOI
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.   DOI
44 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.
45 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.   DOI
46 R. Rose, "How much does social capital add to individual health?", Social science & medicine, Vol. 51, No. 9, pp. 1421-1435, 2000.   DOI   ScienceOn
47 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.   DOI   ScienceOn