Focus Theme – Web Science in Medicine and Healthcare
T. Chomutare (1), E. Årsand (1, 2), L. Fernandez-Luque (3), J. Lauritzen (2), G. Hartvigsen (1)
(1) University hospital of North Norway, Norwegian Center for Integrated Care and Telemedicine, Tromsø, Norway; (2) University of Tromsø, Department of Computer Science, Tromsø, Norway; (3) Northern Research Institute, Tromsø, Norway
diabetes, social networks, homophily, assortativity, community detection
Background: Detecting community structures in complex networks is a problem interesting to several domains. In healthcare, discovering communities may enhance the quality of web offerings for people with chronic diseases. Understanding the social dynamics and community attachments is key to predicting and influencing interaction and information flow to the right patients.
Objectives: The goal of the study is to empirically assess the extent to which we can infer meaningful community structures from implicit networks of peer interaction in online healthcare forums.
Methods: We used datasets from five online diabetes forums to design networks based on peer-interactions. A quality function based on user interaction similarity was used to assess the quality of the discovered communities to complement existing homophily measures.
Results: Results show that we can infer meaningful communities by observing forum interactions. Closely similar users tended to co-appear in the top communities, suggesting the discovered communities are intuitive. The number of years since diagnosis was a significant factor for cohesiveness in some diabetes communities.
Conclusion: Network analysis is a tool that can be useful in studying implicit networks that form in healthcare forums. Current analysis informs further work on predicting and influencing interaction, information flow and user interests that could be useful for personalizing medical social media.
Die Medizinische Welt 2008 59 5: 165-171
Die Medizinische Welt 2008 59 5: 158-163
Marlien Pieters1, Namukolo Covic1, Francois H. van der Westhuizen2, Chandrasekaran Nagaswami3, Yelena Baras3, Du Toit Loots1, Johann C. Jerling1, Dale Elgar4, Kathryn S. Edmondson3, Danie G. van Zyl5, Paul Rheeder6, John W. Weisel3
Thromb Haemost 2008 99 4: 691-700
In recent years, we have witnessed substantial progress in the use of clinical informatics systems...
A For-Discussion-Section in this issue features a pair of discussed review papers on boosting...
Invitation to Apply for the Student Editorial Board 2015/2016 - The Journal Methods of Information...
Information technology in health care has a clear potential to improve the quality and efficiency...
The submission deadline for the Focus Theme on "Big Data and Analytics in Healthcare"...