A Classification of Healthcare Social Network Analysis Applications

Lamia Benhiba, Asmae Loutfi, Mohammed Abdou Janati Idrissi

2017

Abstract

As the web, social networks and the internet of things permeated our daily life; a new perspective for understanding the complexity of our interconnectedness has become necessary. One approach that has predominantly proven useful in discovering hidden relationships, connections and trends of complex systems through mathematical and graphical techniques is Social Network Analysis (SNA). This approach has become increasingly appeling for Healthcare in particular as many of this domain’s problems examine systems with dynamic actors that interact with each other and exhibit emergent complex behaviors. However, due to their multiplicity, the application of SNA methodologies proves to be a complex and confusing endeavor. In an attempt to support the effort of applying SNA methodologies on Healthcare research problems, this paper offers firstly a categorization of SNA methodologies (structural and dynamic analysis), then inventories Healthcare SNA applications and classifies them into organizational and e-health related problems. The resulting categorization helps identify the Healthcare research problems most auspicious for SNA methodologies and should thus provide a guiding material of adequate SNA methodologies for a given Healthcare research problem.

References

  1. Bullmore, E., & Sporns, O., 2009. Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience,10(3), 186-198.
  2. Lewis, K., Kaufman, J., Gonzalez, M., Wimmer, A., & Christakis, N., 2008. Tastes, ties, and time: A new social network dataset using Facebook. com.Social networks, 30(4), 330-342.
  3. Krempel, L., & Plümper, T., 2003. Exploring the dynamics of international trade by combining the comparative advantages of multivariate statistics and network visualizations. Journal of social structure, 4(1), 1-22.
  4. Klofstad, C. A., Sokhey, A. E., & McClurg, S. D., 2013. Disagreeing about disagreement: How conflict in social networks affects political behavior.American Journal of Political Science, 57(1), 120-134.
  5. Paulo, D., Fischl, B., Markow, T., Martin, M., & Shakarian, P., 2013. Social network intelligence analysis to combat street gang violence. arXiv preprint arXiv:1306.6834.
  6. Rubinov, M., & Sporns, O., 2010. Complex network measures of brain connectivity: uses and interpretations. Neuroimage, 52(3), 1059-1069.
  7. Chen, Y. D., Tseng, C., King, C. C., Wu, T. S. J., & Chen, H., 2007. Incorporating geographical contacts into social network analysis for contact tracing in epidemiology: A study on Taiwan SARS data. In Intelligence and Security Informatics: Biosurveillance (pp. 23-36). Springer Berlin Heidelberg.
  8. Abraham, A., Hassanien, A. E., & Snâaésel, V. (Eds.)., 2010. Computational social network analysis: trends, tools and research advances. Springer.
  9. Freeman, L. C., 2004. The development of social network analysis. Vancouver: Empirical Press.
  10. Wasserman, S., 1994. Social network analysis: Methods and applications (Vol. 8). Cambridge university press.
  11. Albert, Réka, and Albert-László Barabási, 2002. "Statistical mechanics of complex networks." Reviews of modern physics 74.1 : 47.
  12. A.-L. Barabási. Linked: The New Science of Networks. Perseus Books Group, 2002.
  13. Newman, Mark EJ, 2003. "The structure and function of complex networks." SIAM review 45.2 : 167-256.
  14. D. Watts. Six Degrees: The Science of a Connected Age. Norton, 2004.
  15. N. Christakis and J. Fowler. Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives. Back Bay Books, 2011. (Scott, 2012).
  16. Scott, John. Social network analysis. Sage, 2012.
  17. Blonder B, Wey T, Dornhaus A, James R, Sih A. 2012. Te mporal dynamics and network analysis. Meth Ecol Evol. doi: 10.1111/j.2041-210X.2012.00236.x.
  18. Barabási, Albert-László. "Network science" Cambridge University Press, Cambridge (August 5, 2016).
  19. Kratzer, J., Leenders, R. T. A., & Van Engelen, J. M., 2005. Informal contacts and performance in innovation teams. International Journal of Manpower, 26(6), 513-528.
  20. Shrader, C. B., Dellva, W. L., & McElroy, J. C., 1989. Social networks and group performance - A partial test of the Pearce and David hypotheses. International Journal of Small Group Research, 5(2), 145-162.
  21. Watts, Duncan J.; Strogatz, Steven H., June 1998. "Collective dynamics of 'small-world' networks". Nature 393 (6684): 440-442.
  22. McPherson, M., Smith-Lovin, L., & Cook, J. M., 2001. Birds of a feather: Homophily in social networks. Annual review of sociology, 415-444.
  23. Barabási, A. L., & Albert, R., 1999. Emergence of scaling in random networks.science, 286(5439), 509-512.
  24. Bollobás, B., & Riordan, O., 2003. Mathematical results on scale-free random graphs. Handbook of graphs and networks, 1, 34.
  25. Louni, Alireza, and K. P. Subbalakshmi, 2014. "Diffusion of information in social networks." Social Networking. Springer International Publishing. 1-22.
  26. Bollobás, B., & Riordan, O., 2003. Mathematical results on scale-free random graphs. Handbook of graphs and networks, 1, 34.
  27. Louni, Alireza, and K. P. Subbalakshmi, 2014. "Diffusion of information in social networks." Social Networking. Springer International Publishing. 1-22.
  28. Granovetter, Mark, 1978. "Threshold models of collective behavior." American journal of sociology: 1420-1443.
  29. Goldenberg, J., Libai, B., Muller, E, 2001.: Talk of the
  30. network: a complex systems look at the underlying process of word-of-mouth. Mark. Lett. 12(3), 211-223.
  31. Jackson,M.O, 2008.: Social and Economic Networks. Princeton University Press.
  32. Steinwachs DM, Hughes RG, 2008. Patient Safety and Quality: An Evidence-Based Handbook for Nurses, Hughes RG, editor.
  33. Millard, Colin, Petra Brhlikova, and Allyson Pollock. 2015. 'Social networks and health policy: The case of misoprostol and the WHO model essential medicine list', Social Science & Medicine, 132: 190-96.
  34. Takahashi, Yoshimitsu, Tatsuro Ishizaki, Takeo Nakayama, and Ichiro Kawachi. 2016. 'Social network analysis of duplicative prescriptions: One-month analysis of medical facilities in Japan', Health Policy, 120: 334-41.
  35. Bramhachari, Rittika, and Sabyasachi Mandal. 2016. 'a social network analysis of rural medical practitioners in the sundarbans, west bengal', BMJ Global Health, 1: A41-A42.
  36. Guo H., Wei F., Cheng S., Jiang F., 2015. Find Referral Social Networks, International Symposium on Security and Privacy in Social Networks and Big Data, 58-63.
  37. Soulakis, Nicholas D., Matthew B. Carson, Young Ji Lee, Daniel H. Schneider, Connor T. Skeehan, and Denise M. Scholtens. 2015. 'Visualizing collaborative electronic health record usage for hospitalized patients with heart failure', Journal of the American Medical Informatics Association : JAMIA, 22: 299-311.
  38. Caniato, M., T. Tudor, and M. Vaccari. 2015. 'Understanding the perceptions, roles and interactions of stakeholder networks managing health-care waste: A case study of the Gaza Strip', Waste Management, 35: 255-64.
  39. Schoen, Martin W., Sarah Moreland-Russell, Kim Prewitt, and Bobbi J. Carothers. 2014. 'Social network analysis of public health programs to measure partnership', Social Science & Medicine, 123: 90-95.
  40. Dianis, Nancy L., Tracy L. Wolbach, and Maura Spiegelman. 2016. 'The NHLBI-UnitedHealth Global Health Centers of Excellence Program: Assessment of Impact of Federal Funding Through a Social Network Analysis', Global Heart, 11: 145-48.e1.
  41. Kawonga, Mary, Duane Blaauw, and Sharon Fonn. 2015. 'Exploring the use of social network analysis to measure communication between disease programme and district managers at sub-national level in South Africa', Social Science & Medicine, 135: 1-14.
  42. Khosla, Nidhi, Jill Ann Marsteller, Yea Jen Hsu, and David L. Elliott. 2016. 'Analysing collaboration among HIV agencies through combining network theory and relational coordination', Social Science & Medicine, 150: 85-94.
  43. Wang, F., U. Srinivasan, S. Uddin, and S. Chawla. 2014. "Application of network analysis on healthcare." In Advances in Social Networks Analysis and Mining (ASONAM), 596-603.
  44. Wu, Y., and Z. Duan, 2015. 'Social network analysis of international scientific collaboration on psychiatry research', International Journal of Mental Health Systems.
  45. Bian, J., M. Xie, U. Topaloglu, T. Hudson, and W. Hogan. 2013. "Understanding biomedicai research collaborations through social network analysis: A case study." In Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference, 9-16.
  46. World health organization 2016. Health topics, e-health, url: http://www.who.int/topics/ehealth/en/
  47. Chomutare, T., A. Xu, and M. S. Iyengar. 2014. "Social Network Analysis to Delineate Interaction Patterns That Predict Weight Loss Performance." In 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 271-76.
  48. Pachucki M. C., Ozer E. J., Barrat A., Cattuto C., 2015. Mental health and social networks in early adolescence: A dynamic study of objectivelymeasured social interaction behaviors. Social Science and Medecine 125, 40-50.
  49. Goodall, K. T., L. A. Newman, and P. R. Ward. 2014. 'Improving access to health information for older migrants by using grounded theory and social network analysis to understand their information behaviour and digital technology use', European Journal of Cancer Care, 23: 728-38.
Download


Paper Citation


in Harvard Style

Benhiba L., Loutfi A. and Janati Idrissi M. (2017). A Classification of Healthcare Social Network Analysis Applications . In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017) ISBN 978-989-758-213-4, pages 147-158. DOI: 10.5220/0006168001470158


in Bibtex Style

@conference{healthinf17,
author={Lamia Benhiba and Asmae Loutfi and Mohammed Abdou Janati Idrissi},
title={A Classification of Healthcare Social Network Analysis Applications},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017)},
year={2017},
pages={147-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006168001470158},
isbn={978-989-758-213-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017)
TI - A Classification of Healthcare Social Network Analysis Applications
SN - 978-989-758-213-4
AU - Benhiba L.
AU - Loutfi A.
AU - Janati Idrissi M.
PY - 2017
SP - 147
EP - 158
DO - 10.5220/0006168001470158