Using Social Networking to Understand Social Networks: Analysis of a Mobile Phone Closed User Group Used by a Ghanaian Health Team

Background The network structure of an organization influences how well or poorly an organization communicates and manages its resources. In the Millennium Villages Project site in Bonsaaso, Ghana, a mobile phone closed user group has been introduced for use by the Bonsaaso Millennium Villages Project Health Team and other key individuals. No assessment on the benefits or barriers of the use of the closed user group had been carried out. Objective The purpose of this research was to make the case for the use of social network analysis methods to be applied in health systems research—specifically related to mobile health. Methods This study used mobile phone voice records of, conducted interviews with, and reviewed call journals kept by a mobile phone closed user group consisting of the Bonsaaso Millennium Villages Project Health Team. Social network analysis methodology complemented by a qualitative component was used. Monthly voice data of the closed user group from Airtel Bharti Ghana were analyzed using UCINET and visual depictions of the network were created using NetDraw. Interviews and call journals kept by informants were analyzed using NVivo. Results The methodology was successful in helping identify effective organizational structure. Members of the Health Management Team were the more central players in the network, rather than the Community Health Nurses (who might have been expected to be central). Conclusions Social network analysis methodology can be used to determine the most productive structure for an organization or team, identify gaps in communication, identify key actors with greatest influence, and more. In conclusion, this methodology can be a useful analytical tool, especially in the context of mobile health, health services, and operational and managerial research.

[1]  Danyel Fisher,et al.  Using egocentric networks to understand communication , 2005, IEEE Internet Computing.

[2]  Judd Harrison Michael,et al.  Demographic antecedents and performance consequences of structural holes in work teams , 2007 .

[3]  Scott J Leischow,et al.  Systems thinking and modeling for public health practice. , 2006, American journal of public health.

[4]  P. Doreian,et al.  Utilizing and Understanding Community Service Provision Networks: A Report of Three Case Studies Having 583 Participants , 1994 .

[5]  Giuseppe Soda,et al.  The contribution of network research to managerial culture and practice , 2011 .

[6]  Daniel J. Brass,et al.  Network Analysis in the Social Sciences , 2009, Science.

[7]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[8]  Jenine K. Harris,et al.  Network Analysis in Public Health: History, Methods, and Applications , 2022 .

[9]  Mika Gustafsson,et al.  Comparison and validation of community structures in complex networks , 2006 .

[10]  L. Freeman Centrality in social networks conceptual clarification , 1978 .

[11]  R. Burt The Network Structure Of Social Capital , 2000 .

[12]  Seewon Ryu,et al.  Book Review: mHealth: New Horizons for Health through Mobile Technologies: Based on the Findings of the Second Global Survey on eHealth (Global Observatory for eHealth Series, Volume 3) , 2012, Healthcare Informatics Research.

[13]  Syed Sibte Raza Abidi,et al.  Applying Social Network Analysis to Understand the Knowledge Sharing Behaviour of Practitioners in a Clinical Online Discussion Forum , 2012, Journal of medical Internet research.

[14]  Robyn Whittaker,et al.  Issues in mHealth: Findings From Key Informant Interviews , 2012, Journal of medical Internet research.

[15]  Douglas A Luke,et al.  Getting the Big Picture in Community Science: Methods That Capture Context , 2005, American journal of community psychology.

[16]  J. Johanson,et al.  Formal structure and intra-organisational networks. An analysis in a combined social and health organisation in Finland , 2000 .

[17]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[18]  D. Harrison,et al.  TIES, LEADERS, AND TIME IN TEAMS: STRONG INFERENCE ABOUT NETWORK STRUCTURE'S EFFECTS ON TEAM VIABILITY AND PERFORMANCE , 2006 .