Complex Network Structure Patterns in Open Internet Communities for People with Diabetes
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https://hdl.handle.net/10037/6544Date
2014-05-14Type
Doctoral thesisDoktorgradsavhandling
Author
Chomutare, Taridzo FredAbstract
Type 2 diabetes is one of the greatest challenges that continues to grow because of the
ageing population, increasing morbid obesity and sedentary lifestyles.
Social media such as Facebook and YouTube have transformed the way people interact
in general and on the Internet, but the role of social media in healthcare is still not
well-understood.
Current understanding of the association between user interaction patterns and health
outcomes or behaviour change is still limited. In this dissertation I present a framework,
based on social network analysis, to explore the nature of patient interactions in online
communities.
Results show that people with diabetes join online communities typically immediately
following diagnosis, with over 80% of the patients having being diagnosed in under 2
years. The networks are very centralized with continually shrinking density and diameter
as the the networks grow, and these results directly contrast with current evidence about
non-healthcare social networks. Further, using machine learning techniques, I show
that we can predict health outcomes such as weight loss performance based on how the
patients interact online.
The results have practical relevance for understanding the nature of patients interactions,
as well as for designing personalized diabetes interventions based on emergent social
technologies.
Description
The papers of this thesis are not available in Munin:
1. Chomutare T, Fernandez-Luque L, Årsand E, Hartvigsen G.: 'Features of mobile diabetes applications: Review of the literature and analysis of current applications against evidence-based guidelines', Journal of Medical Internet Research (2011), vol. 13(3);e65. Available at http://dx.doi.org/10.2196/jmir.1874
2. Chomutare T, Årsand E, Fernandez-Luque L, Lauritzen J, Hartvigsen G.: 'Inferring community structure in healthcare forums: An empirical study', Methods of Information in Medicine (2013, vol. 52(2). Available at http://dx.doi.org/10.3414/ME12-02-0003
3. Chomutare T, Årsand E, Hartvigsen G.: 'Characterizing Development Patterns of Healthcare Social Networks', Network Modeling Analysis in Health Informatics and Bioinformatics (2013), vol. 2(3):147-157. Available at http://dx.doi.org/10.1007/s13721-013-0033-y
4. Chomutare T, Årsand E, Hartvigsen G.: 'Temporal community structure patterns in diabetes social networks', International Conference ASONAM (2012), pp.745-75. Available at http://dx.doi.org/10.1109/ASONAM.2012.137
5. Chomutare T, Tatara N, Årsand E, Hartvigsen G.: 'Designing a diabetes mobile application with social network support', Studies in Health Technology and Informatics (2013), vol. 188:58-64.
6. Chomutare T, Xu A, Iyengar MS.: 'Social Network Analysis to Delineate Interaction Behaviour that Predicts Weight Loss Performance' (manuscript)
7. Chomutare T.: 'Collaborative Filtering with Community Structure Properties in Healthcare Social Networks' (manuscript)
1. Chomutare T, Fernandez-Luque L, Årsand E, Hartvigsen G.: 'Features of mobile diabetes applications: Review of the literature and analysis of current applications against evidence-based guidelines', Journal of Medical Internet Research (2011), vol. 13(3);e65. Available at http://dx.doi.org/10.2196/jmir.1874
2. Chomutare T, Årsand E, Fernandez-Luque L, Lauritzen J, Hartvigsen G.: 'Inferring community structure in healthcare forums: An empirical study', Methods of Information in Medicine (2013, vol. 52(2). Available at http://dx.doi.org/10.3414/ME12-02-0003
3. Chomutare T, Årsand E, Hartvigsen G.: 'Characterizing Development Patterns of Healthcare Social Networks', Network Modeling Analysis in Health Informatics and Bioinformatics (2013), vol. 2(3):147-157. Available at http://dx.doi.org/10.1007/s13721-013-0033-y
4. Chomutare T, Årsand E, Hartvigsen G.: 'Temporal community structure patterns in diabetes social networks', International Conference ASONAM (2012), pp.745-75. Available at http://dx.doi.org/10.1109/ASONAM.2012.137
5. Chomutare T, Tatara N, Årsand E, Hartvigsen G.: 'Designing a diabetes mobile application with social network support', Studies in Health Technology and Informatics (2013), vol. 188:58-64.
6. Chomutare T, Xu A, Iyengar MS.: 'Social Network Analysis to Delineate Interaction Behaviour that Predicts Weight Loss Performance' (manuscript)
7. Chomutare T.: 'Collaborative Filtering with Community Structure Properties in Healthcare Social Networks' (manuscript)
Publisher
UiT Norges arktiske universitetUiT The Arctic University of Norway
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