Cited by 120Health Policy Implementation ScienceEvaluation and Performance AssessmentComplex Network Analysis Techniques

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Social network diagnostics: a tool for monitoring group interventions

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Gesell, Sabina B, Barkin, Shari L, Valente, Thomas W·2013·Implementation Science

DOI 10.1186/1748-5908-8-116PMC PMC3851809

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Abstract

BACKGROUND: Many behavioral interventions designed to improve health outcomes are delivered in group settings. To date, however, group interventions have not been evaluated to determine if the groups generate interaction among members and how changes in group interaction may affect program outcomes at the individual or group level. METHODS: This article presents a model and practical tool for monitoring how social ties and social structure are changing within the group during program implementation. The approach is based on social network analysis and has two phases: collecting network measurements at strategic intervention points to determine if group dynamics are evolving in ways anticipated by the intervention, and providing the results back to the group leader to guide implementation next steps. This process aims to initially increase network connectivity and ultimately accelerate the diffusion of desirable behaviors through the new network. This article presents the Social Network Diagnostic Tool and, as proof of concept, pilot data collected during the formative phase of a childhood obesity intervention. RESULTS: The number of reported advice partners and discussion partners increased during program implementation. Density, the number of ties among people in the network expressed as a percentage of all possible ties, increased from 0.082 to 0.182 (p < 0.05) in the advice network, and from 0.027 to 0.055 (p > 0.05) in the discussion network. CONCLUSIONS: The observed two-fold increase in network density represents a significant shift in advice partners over the intervention period. Using the Social Network Tool to empirically guide program activities of an obesity intervention was feasible.

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Figure 1 Action plan for interventionist to increase small group cohesion. Based on network diagnostic tool results.CC BY · PubMed Central

Figure 2 Evolution of social networks during the intervention period. (a). Advice networks at weeks four and twelve. (b). Discussion networks at weeks four and twelve. Density, the proportion of links in the network, increased from 0.082 to 0.182 in the advice network (t = 2.13, p < 0.05); and from 0.027 to 0.055 in the discussion network (t = 1.02, p > 0.05). This greater than two-fold increase represents a substantial shift in reported network partners over eight weeks of programmatic activity.CC BY · PubMed Central

Figure 3 Network density for advice and discussion networks at weeks four and twelve. The density of the advice network and the density of the discussion network each increased from weeks four (wave two) to twelve (wave three). The number of reported advice partners and discussion partners increased but the density values are depressed by the four non-participants who did not provide nominations and were not nominated due to their non-participation.CC BY · PubMed Central

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Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support
Harris, P. A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J. G. (2009) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2008.08.010 · Cited by 51,384
Birds of a Feather: Homophily in Social Networks
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001) · Annual Review of Sociology · doi:10.1146/annurev.soc.27.1.415 · Cited by 18,567
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
Social Contagion and Innovation: Cohesion versus Structural Equivalence
Burt, R. S. (1987) · American Journal of Sociology · doi:10.1086/228667 · Cited by 2,421
Introduction to stochastic actor-based models for network dynamics
Snijders, T. A. B., van de Bunt, G. G., & Steglich, C. E. G. (2010) · Social Networks · doi:10.1016/j.socnet.2009.02.004 · Cited by 2,103
Network models of the diffusion of innovations
Valente, T. W. (1996) · Computational and Mathematical Organization Theory · doi:10.1007/bf00240425 · Cited by 1,657
Self-citation
Social Networks and Health
Smith, K. P., & Christakis, N. A. (2008) · Annual Review of Sociology · doi:10.1146/annurev.soc.34.040507.134601 · Cited by 1,638
Medical Innovation: A Diffusion Study.
Mechanic, D., Coleman, J. S., Katz, E., & Menzel, H. (1967) · American Sociological Review · doi:10.2307/2091036 · Cited by 1,383
Communication Networks: Toward a New Paradigm for Research.
Feld, S. L., Rogers, E. M., & Kincaid, D. L. (1982) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2067047 · Cited by 1,298

Show all 39 references

Research works printed but not linked: 2

Borgatti SP, Everett MG, Freeman LC: Ucinet for windows: software for social network analysis. 2002, Harvard, MA: Analytic Technologies
Brown R: Social psychology. 1965, New York: Free Press, Collier Macmillan

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Authors: Gesell, S. B., Barkin, S. L., & Valente, T. W.
Affiliations: Atrium Health Wake Forest Baptist (US)
Vanderbilt University (US)
University of Southern California (US)
Corresponding author: Gesell, Sabina B
ORCID: Gesell, Sabina B
Barkin, Shari L
Valente, Thomas W
Venue: Implementation Science
Publisher: Springer Science and Business Media LLC
Published: 2013-10-01
Volume: 8
Issue: 1
Pages: 116-116
ISSN: 1748-5908 (ISSN-L)
DOI: 10.1186/1748-5908-8-116
PMC: PMC3851809
OpenAlex: W2137036188
Cited by: 120
References: 39
Citations by year: 2026: 5 · 2025: 6 · 2024: 5 · 2023: 8 · 2022: 11 · 2021: 20 · 2020: 15 · 2019: 10 · 2018: 11 · 2017: 8 · 2016: 10 · 2015: 6 · 2014: 4 · 2013: 1
FWCI: 12.68
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
www.springer.com/tdm (unspecified)
Locations: Implementation Science (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Funders: Vanderbilt University (UL1‐TR000445)
National Institutes of Health (UL1TR000445, DA027828)
U.S. Public Health Service (UL1TRR24975)
National Heart, Lung, and Blood Institute (U01HL103620, U01HL03620)
National Institute on Drug Abuse (P30DA027828)
National Institute of Diabetes and Digestive and Kidney Diseases (P30DK092986)
National Center for Research Resources (UL1RR024975)
Office of Behavioral and Social Sciences Research
National Center for Advancing Translational Sciences
Eunice Kennedy Shriver National Institute of Child Health and Human Development (K23HD064700)
Topics: Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
Social Sciences › Public Administration › Evaluation and Performance Assessment
Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords: social network analysis, group intervention, intervention monitoring, group dynamics, social ties, network density, childhood obesity intervention, advice networks, formative assessment
MeSH terms: Adult, Feasibility Studies, Female, Group Processes, Humans, Male, Models, Theoretical, Obesity, Pilot Projects, Surveys and Questionnaires, Tennessee, Young Adult, Social Networking

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Social network diagnostics: a tool for monitoring group interventions

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