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MedWeight Smart Community: A Social Approach

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Information Innovation Technology in Smart Cities

Abstract

Smart Communities understand the potential of Internet technology, and make a conscious decision to adopt this technology to transform life and work in significant and positive ways. Smart communities could be effectively supported by social network solutions, though specific issues should be explored to efficiently model the behaviour of community member, in a way similar to the way they interact in the real world. In this chapter, we focus on MedWeight Smart Community, built to support volunteers trying to maintain weight loss. It enables them to be members of a community composed by both other volunteers and nutrition experts, taking into consideration the way support groups are formed in the real world. To support MedWeight smart community, a corresponding social network platform was built, extending the typical social network model to support roles, relations and complex content dissemination and interaction policies.

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References

  1. Lindskog H (2004) Smart communities initiatives. In: Proceedings of the 3rd ISOneWorld conference, pp 14–16

    Google Scholar 

  2. Xia F, Ma J (2011) Building smart communities with cyber-physical systems. In: Proceedings of 1st international symposium on from digital footprints to social and community intelligence (pp 1–6). ACM (September)

    Google Scholar 

  3. Murthy CA, Chowdhury N (1996) In search of optimal clusters using genetic algorithms. Pattern Recogn Lett 17(8):825–832

    Article  Google Scholar 

  4. Spiegel HB (1969) Citizen participation in urban development, vol 2. Cases and programs

    Google Scholar 

  5. McMillan D (1976) Sense of community: an attempt at definition. George Peabody College for Teachers

    Google Scholar 

  6. Zomorrodian AH, Gill SS, Samaha AA, Ahmad N (2013) Quantitative models for participation evaluation in community development: a theoretical review. World Appl Sci J 25(2):314–322

    Google Scholar 

  7. Canada I (1998) Smart communities: report of the panel on smart communities. Information Distribution Centre, Communications Branch, Industry Canada, Ottawa

    Google Scholar 

  8. Meletakis G et al (2015) Building MedWeight smart community using social networking technology. In: 11th international conference on innovations in information technology (IIT), IEEE, pp 332–337

    Google Scholar 

  9. De Vos H (2004) Community and human social nature in contemporary society. Analyse & Kritik 26(1):7–29

    Article  MathSciNet  Google Scholar 

  10. Cohen S, Hoberman HM (1983) Positive events and social supports as buffers of life change stress. J Appl Soc Psychol 13(2):99–125. [Online] Available: http://dx.doi.org/10.1111/j.1559-1816.1983.tb02325.x

  11. Park N, Kee KF, Valenzuela S (2009) Being immersed in social networking environment: facebook groups, uses and gratifications, and social outcomes. CyberPsychol Behav 12(6):729–733

    Article  Google Scholar 

  12. Hampton K, Goulet LS, Rainie L, Purcell K (2011) Social networking sites and our lives. Retrieved 12 July 2011 from, 2011

    Google Scholar 

  13. Oh HJ, Ozkaya E, LaRose R (2014) How does online social networking enhance life satisfaction? The relationships among online supportive interaction, affect, perceived social support, sense of community, and life satisfaction. Comput Hum Behav 30:69–78

    Article  Google Scholar 

  14. Hajli MN (2014) Developing online health communities through digital media. Int J Inf Manage 34(2):311–314

    Article  Google Scholar 

  15. Rains SA, Karmikel CD (2009) Health information-seeking and perceptions of website credibility: examining web-use orientation, message characteristics, and structural features of websites. Comput Hum Behav 25(2):544–553

    Article  Google Scholar 

  16. Eurobarometer F (2014) European citizens digital health literacy. A report to the European Commission, 2014

    Google Scholar 

  17. Coulson NS (2013) How do online patient support communities affect the experience of inflammatory bowel disease? An online survey. JRSM Short Rep 4(8):2042533313478004

    Article  Google Scholar 

  18. Kovic I, Lulic I, Brumini G (2008) Examining the medical blogosphere: an online survey of medical bloggers. J Med Internet Res 10(3)

    Google Scholar 

  19. Heilman JM, Kemmann E, Bonert M, Chatterjee A, Ragar B, Beards GM, Iberri DJ, Harvey M, Thomas B, Stomp W et al (2011) Wikipedia: a key tool for global public health promotion. J Med Internet Res 13(1)

    Google Scholar 

  20. Adlassnig K et al (2009) An analysis of personal medical information disclosed in youtube videos created by patients with multiple sclerosis. In: Medical Informatics in a United and Healthy Europe: proceedings of MIE 2009, the XXII international congress of the European federation for medical informatics, vol 150. IOS Press, 2009, p 292

    Google Scholar 

  21. Bender JL, Jimenez-Marroquin M-C, Jadad AR (2011) Seeking support on facebook: a content analysis of breast cancer groups. J Med Internet Res 13(1)

    Google Scholar 

  22. Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, Hoving C (2013) A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. J Med Internet Res 15(4)

    Google Scholar 

  23. Grajales FJ III, Sheps S, Ho K, Novak-Lauscher H, Eysenbach G (2014) Social media: a review and tutorial of applications in medicine and health care. J Med Internet Res 16(2):e13

    Article  Google Scholar 

  24. Dais A, Nikolaidou M, Alexopoulou N, Anagnostopoulos D (2008) Introducing a public agency networking platform towards supporting connected governance. In: Electronic government. Springer, Berlin Heidelberg, pp 375–387

    Google Scholar 

  25. Hwang KO, Etchegaray JM, Sciamanna CN, Bernstam EV, Thomas EJ (2014) Structural social support predicts functional social support in an online weight loss programme. Health Expect 17(3):345–352

    Article  Google Scholar 

  26. Harvey-Berino J, Pintauro S, Buzzell P, Gold EC (2004) Effect of internet support on the long-term maintenance of weight loss. Obesity Res 12(2):320–329. [Online] Available: http://dx.doi.org/10.1038/oby.2004.40

  27. Cussler EC, Teixeira PJ, Going SB, Houtkooper LB, Metcalfe LL, Blew RM, Ricketts JR, Lohman J, Stanford VA, Lohman TG (2008) Maintenance of weight loss in overweight middle-aged women through the internet. Obesity 16(5):1052–1060. [Online] Available: http://dx.doi.org/10.1038/oby.2008.19

  28. Maher CA, Lewis LK, Ferrar K, Marshall S, De Bourdeaudhuij I, Vandelanotte C (2014) Are health behavior change interventions that use online social networks effective? A systematic review. J Med Internet Res 16(2):e40

    Article  Google Scholar 

  29. Neuenschwander LM, Abbott A, Mobley AR (2013) Comparison of a web-based vs in-person nutrition education program for low-income adults. J Acad Nutr Diet 113(1):120–126

    Article  Google Scholar 

  30. Neve M, Morgan PJ, Jones P, Collins C (2010) Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta-analysis. Obes Rev 11(4):306–321

    Article  Google Scholar 

  31. Wing RR, Phelan S (2005) Long-term weight loss maintenance. Am J Clin Nutr 82(1):222S–225S

    Google Scholar 

  32. Karfopoulou E, Anastasiou CA, Hill JO, Yannakoulia M (2014) The medweight study: design and preliminary results. Mediterr J Nutr Metab 7(3):201–210

    Google Scholar 

  33. Hatzi O, Meletakis G, Katsivelis P, Kapouranis A, Nikolaidou M, Anagnostopoulos D (2014) Extending the social network interaction model to facilitate collaboration through service provision. In: Enterprise, business-process and information systems modeling. Springer, Berlin, Heidelberg, pp 94–108

    Google Scholar 

  34. Li Y, Zhang Z-L, Bao J (2012) Mutual or unrequited love: identifying stable clusters in social networks with uni and bi-directional links. In: Algorithms and models for the web graph. Springer, 2012, pp 113–125

    Google Scholar 

  35. Andersen P (2007) What is Web 2.0? Ideas, technologies and implications for education. JISC Bristol, UK 1(1)

    Google Scholar 

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Acknowledgements

The research presented in the paper is part of the work conducted in the project Med-Weight Study: Lifestyles for Weight Loss Maintenance funded by Coca-Cola Foundation. We would like to give special thanks to all the volunteers and dietitians participating in MedWeight Smart Community.

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Authors and Affiliations

  1. Department of Informatics and Telematics, Harokopio University, Athens, Greece

    Giannis Meletakis, Rania Hatzi, Panagiotis Katsivelis, Mara Nikolaidou & Dimosthenis Anagnostopoulos

  2. Department of Nutrition and Dietetics, Harokopio University, Athens, Greece

    Costas A. Anastasiou, Eleni Karfopoulou & Mary Yannakoulia

Authors
  1. Giannis Meletakis
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  2. Rania Hatzi
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  3. Panagiotis Katsivelis
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  4. Mara Nikolaidou
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  5. Dimosthenis Anagnostopoulos
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  6. Costas A. Anastasiou
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  7. Eleni Karfopoulou
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  8. Mary Yannakoulia
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Corresponding author

Correspondence to Giannis Meletakis .

Editor information

Editors and Affiliations

  1. College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates

    Leila Ismail

  2. College of Physics and Electronic Science, Shandong Normal University, Jinan, China

    Liren Zhang

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Meletakis, G. et al. (2018). MedWeight Smart Community: A Social Approach. In: Ismail, L., Zhang, L. (eds) Information Innovation Technology in Smart Cities. Springer, Singapore. https://doi.org/10.1007/978-981-10-1741-4_11

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  • DOI: https://doi.org/10.1007/978-981-10-1741-4_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1740-7

  • Online ISBN: 978-981-10-1741-4

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