A Classification of Healthcare Social Network Analysis Applications

Lamia Benhiba, Asmae Loutfi, Mohammed Abdou Janati Idrissi

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.

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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