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Published in: Implementation Science 1/2013

Open Access 01-12-2013 | Methodology

Social network diagnostics: a tool for monitoring group interventions

Authors: Sabina B Gesell, Shari L Barkin, Thomas W Valente

Published in: Implementation Science | Issue 1/2013

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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.
Appendix
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Literature
1.
go back to reference Valente TW, Sussman S, Unger J: Peer acceleration: effects of a network tailored substance abuse prevention program among high risk adolescents. Addiction. 2007, 102: 1804-1815. 10.1111/j.1360-0443.2007.01992.x.CrossRefPubMed Valente TW, Sussman S, Unger J: Peer acceleration: effects of a network tailored substance abuse prevention program among high risk adolescents. Addiction. 2007, 102: 1804-1815. 10.1111/j.1360-0443.2007.01992.x.CrossRefPubMed
2.
go back to reference Gesell SB, Bess KD, Barkin SL: Understanding the social networks that form within the context of an obesity prevention intervention. J Obes. 2012, 2012: 749832-CrossRefPubMedPubMedCentral Gesell SB, Bess KD, Barkin SL: Understanding the social networks that form within the context of an obesity prevention intervention. J Obes. 2012, 2012: 749832-CrossRefPubMedPubMedCentral
3.
go back to reference Valente TW: Social networks and health: models, methods, and applications. 2010, New York, NY: Oxford University PressCrossRef Valente TW: Social networks and health: models, methods, and applications. 2010, New York, NY: Oxford University PressCrossRef
4.
go back to reference Valente TW, Mouttapa M, Gallaher M: Using social networks to understand and prevent substance use: a transdisciplinary perspective. Subst Use Misuse. 2004, 39: 1685-1712. 10.1081/JA-200033210.CrossRefPubMed Valente TW, Mouttapa M, Gallaher M: Using social networks to understand and prevent substance use: a transdisciplinary perspective. Subst Use Misuse. 2004, 39: 1685-1712. 10.1081/JA-200033210.CrossRefPubMed
5.
go back to reference Wasserman S, Faust K: Social network analysis: methods and applications (Structural anal in the Social Sciences). 1994, New York, NY: Cambridge University PressCrossRef Wasserman S, Faust K: Social network analysis: methods and applications (Structural anal in the Social Sciences). 1994, New York, NY: Cambridge University PressCrossRef
6.
go back to reference Valente TW, Watkins S, Jato MN: Social network associations with contraceptive use among Cameroonian women in voluntary associations. Soc Sci Med. 1997, 45: 677-687. 10.1016/S0277-9536(96)00385-1.CrossRefPubMed Valente TW, Watkins S, Jato MN: Social network associations with contraceptive use among Cameroonian women in voluntary associations. Soc Sci Med. 1997, 45: 677-687. 10.1016/S0277-9536(96)00385-1.CrossRefPubMed
7.
go back to reference Morris ME: Network epidemiology: A handbook for survey design and data collection. 2004, New York, NY: Oxford University PressCrossRef Morris ME: Network epidemiology: A handbook for survey design and data collection. 2004, New York, NY: Oxford University PressCrossRef
8.
go back to reference Ennett ST, Bauman KE: The contribution of influence and selection to adolescent peer group homogeneity: the case of adolescent cigarette smoking. J Pers Soc Psychol. 1994, 67: 653-663.CrossRefPubMed Ennett ST, Bauman KE: The contribution of influence and selection to adolescent peer group homogeneity: the case of adolescent cigarette smoking. J Pers Soc Psychol. 1994, 67: 653-663.CrossRefPubMed
9.
go back to reference Alexander C, Piazza M, Mekos D: Peer networks and adolescent cigarette smoking: an analysis of the national longitudinal study of adolescent health. J Adolesc Heal. 2001, 29: 22-30. 10.1016/S1054-139X(01)00210-5.CrossRef Alexander C, Piazza M, Mekos D: Peer networks and adolescent cigarette smoking: an analysis of the national longitudinal study of adolescent health. J Adolesc Heal. 2001, 29: 22-30. 10.1016/S1054-139X(01)00210-5.CrossRef
10.
go back to reference Coleman JS, Katz E, Menzel H: Medical innovation: a diffusion study. 1966, New York, NY: Bobs Merrill Coleman JS, Katz E, Menzel H: Medical innovation: a diffusion study. 1966, New York, NY: Bobs Merrill
11.
go back to reference Iyengar R, Van den Bulte C, Valente TW: Opinion leadership and contagion in new product diffusion. Mark Sci. 2011, 30: 195-212. 10.1287/mksc.1100.0566.CrossRef Iyengar R, Van den Bulte C, Valente TW: Opinion leadership and contagion in new product diffusion. Mark Sci. 2011, 30: 195-212. 10.1287/mksc.1100.0566.CrossRef
12.
go back to reference Christakis NA, Fowler JH: The spread of obesity in a large social network over 32 years. N Engl J Med. 2007, 357: 370-379. 10.1056/NEJMsa066082.CrossRefPubMed Christakis NA, Fowler JH: The spread of obesity in a large social network over 32 years. N Engl J Med. 2007, 357: 370-379. 10.1056/NEJMsa066082.CrossRefPubMed
13.
go back to reference Gesell SB, Tesdahl E, Ruchman E: The distribution of physical activity in an afterschool friendship network. Pediatrics. 2012, 129 (6): 1064-1071. 10.1542/peds.2011-2567. June 1, 2012CrossRefPubMedPubMedCentral Gesell SB, Tesdahl E, Ruchman E: The distribution of physical activity in an afterschool friendship network. Pediatrics. 2012, 129 (6): 1064-1071. 10.1542/peds.2011-2567. June 1, 2012CrossRefPubMedPubMedCentral
14.
15.
go back to reference Latkin CA, Donnell D, Metzger D: The efficacy of a network intervention to reduce HIV risk behaviors among drug users and risk partners in Chiang Mai, Thailand and Philadelphia, USA. Soc Sci Med. 2009, 68: 740-748. 10.1016/j.socscimed.2008.11.019.CrossRefPubMed Latkin CA, Donnell D, Metzger D: The efficacy of a network intervention to reduce HIV risk behaviors among drug users and risk partners in Chiang Mai, Thailand and Philadelphia, USA. Soc Sci Med. 2009, 68: 740-748. 10.1016/j.socscimed.2008.11.019.CrossRefPubMed
16.
go back to reference Mercken L, Snijders TA, Steglich C: Dynamics of adolescent friendship networks and smoking behavior: social network analyses in six European countries. Soc Sci Med. 2009, 69: 1506-1514. 10.1016/j.socscimed.2009.08.003.CrossRefPubMed Mercken L, Snijders TA, Steglich C: Dynamics of adolescent friendship networks and smoking behavior: social network analyses in six European countries. Soc Sci Med. 2009, 69: 1506-1514. 10.1016/j.socscimed.2009.08.003.CrossRefPubMed
17.
go back to reference Snijders TA, Van De Bunt GG, Steglich C: Introduction to stochastic actor-based models for network dynamics. Soc Networks. 2010, 32: 44-60. 10.1016/j.socnet.2009.02.004.CrossRef Snijders TA, Van De Bunt GG, Steglich C: Introduction to stochastic actor-based models for network dynamics. Soc Networks. 2010, 32: 44-60. 10.1016/j.socnet.2009.02.004.CrossRef
18.
go back to reference Burt R: Social contagion and innovation: cohesion versus structural equivalence. Am J Sociol. 1987, 92: 1287-1335. 10.1086/228667.CrossRef Burt R: Social contagion and innovation: cohesion versus structural equivalence. Am J Sociol. 1987, 92: 1287-1335. 10.1086/228667.CrossRef
19.
go back to reference Marsden PV, Friedkin NE: Network studies of social influence. Sociol Methods Res. 1993, 22: 127-151. 10.1177/0049124193022001006.CrossRef Marsden PV, Friedkin NE: Network studies of social influence. Sociol Methods Res. 1993, 22: 127-151. 10.1177/0049124193022001006.CrossRef
20.
go back to reference Valente TW: Network models of the diffusion of innovations. 1995, Cresskill, NJ: Hampton Press Valente TW: Network models of the diffusion of innovations. 1995, Cresskill, NJ: Hampton Press
21.
go back to reference Smith KP, Christakis NA: Social networks and health. Annu Rev. 2008, 34: 405-429. 10.1146/annurev.soc.34.040507.134601.CrossRef Smith KP, Christakis NA: Social networks and health. Annu Rev. 2008, 34: 405-429. 10.1146/annurev.soc.34.040507.134601.CrossRef
23.
go back to reference Glass TA, McAtee MJ: Behavioral science at the crossroads in public health: extending horizons, envisioning the future. Soc Sci Med. 2006, 62: 1650-1671. 10.1016/j.socscimed.2005.08.044.CrossRefPubMed Glass TA, McAtee MJ: Behavioral science at the crossroads in public health: extending horizons, envisioning the future. Soc Sci Med. 2006, 62: 1650-1671. 10.1016/j.socscimed.2005.08.044.CrossRefPubMed
24.
go back to reference Huang TT, Drewnosksi A, Kumanyika S: A systems-oriented multilevel framework for addressing obesity in the 21st century. Prev Chronic Dis. 2009, 6: A82-PubMedPubMedCentral Huang TT, Drewnosksi A, Kumanyika S: A systems-oriented multilevel framework for addressing obesity in the 21st century. Prev Chronic Dis. 2009, 6: A82-PubMedPubMedCentral
25.
go back to reference Rogers EM, Kincaid DL: Communication networks: toward a new paradigm for research. 1981, New York, NY: Free Press Rogers EM, Kincaid DL: Communication networks: toward a new paradigm for research. 1981, New York, NY: Free Press
26.
go back to reference Harris PA, Taylor R, Thielke R: Research electronic data capture (REDCap): a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009, 42: 377-381. 10.1016/j.jbi.2008.08.010.CrossRefPubMed Harris PA, Taylor R, Thielke R: Research electronic data capture (REDCap): a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009, 42: 377-381. 10.1016/j.jbi.2008.08.010.CrossRefPubMed
27.
go back to reference McPherson M, Smith-Lovin L, Cook JM: Birds of a feather: homophily in social networks. Annu Rev Sociol. 2001, 27: 415-444. 10.1146/annurev.soc.27.1.415.CrossRef McPherson M, Smith-Lovin L, Cook JM: Birds of a feather: homophily in social networks. Annu Rev Sociol. 2001, 27: 415-444. 10.1146/annurev.soc.27.1.415.CrossRef
28.
go back to reference Saint-Charles J, Mongeau P: Different relationships for coping with ambiguity and uncertainty in organizations. Soc Networks. 2009, 31: 33-39. 10.1016/j.socnet.2008.09.001.CrossRef Saint-Charles J, Mongeau P: Different relationships for coping with ambiguity and uncertainty in organizations. Soc Networks. 2009, 31: 33-39. 10.1016/j.socnet.2008.09.001.CrossRef
29.
go back to reference Bollen KA, Hoyle RH: Perceived cohesion: a conceptual and empirical-examination. Soc Forces. 1990, 69: 479-504.CrossRef Bollen KA, Hoyle RH: Perceived cohesion: a conceptual and empirical-examination. Soc Forces. 1990, 69: 479-504.CrossRef
30.
go back to reference Chin WW, Salisbury DW, Perason AW: Perceived cohesion in small groups adapting and testing the perceived cohesion scale in a small-group setting. Small Group Res. 1999, 30: 751-766. 10.1177/104649649903000605.CrossRef Chin WW, Salisbury DW, Perason AW: Perceived cohesion in small groups adapting and testing the perceived cohesion scale in a small-group setting. Small Group Res. 1999, 30: 751-766. 10.1177/104649649903000605.CrossRef
31.
go back to reference Eakin EG, Bull SS, Riley K: Recruitment and retention of Latinos in a primary care-based physical activity and diet trial: the resources for health study. Health Educ Res. 2007, 22: 361-371.CrossRefPubMed Eakin EG, Bull SS, Riley K: Recruitment and retention of Latinos in a primary care-based physical activity and diet trial: the resources for health study. Health Educ Res. 2007, 22: 361-371.CrossRefPubMed
32.
go back to reference Borgatti SP, Everett MG, Freeman LC: Ucinet for windows: software for social network analysis. 2002, Harvard, MA: Analytic Technologies Borgatti SP, Everett MG, Freeman LC: Ucinet for windows: software for social network analysis. 2002, Harvard, MA: Analytic Technologies
33.
go back to reference Snijders TAB, Borgatti SP: Non-parametric standard errors and tests for network statistics. Connections. 1999, 22: 161-170. Snijders TAB, Borgatti SP: Non-parametric standard errors and tests for network statistics. Connections. 1999, 22: 161-170.
35.
go back to reference Oh H, Chung M, Labianca G: Group social capital and group effectiveness: the role of informal socializing ties. Acad Manage J. 2004, 47: 860-875. 10.2307/20159627.CrossRef Oh H, Chung M, Labianca G: Group social capital and group effectiveness: the role of informal socializing ties. Acad Manage J. 2004, 47: 860-875. 10.2307/20159627.CrossRef
36.
go back to reference Perry BL, Pescosolido BA: Functional specificity in discussion networks: the influence of general and problem-specific networks on health outcomes. Soc Networks. 2010, 32: 345-357. 10.1016/j.socnet.2010.06.005.CrossRef Perry BL, Pescosolido BA: Functional specificity in discussion networks: the influence of general and problem-specific networks on health outcomes. Soc Networks. 2010, 32: 345-357. 10.1016/j.socnet.2010.06.005.CrossRef
38.
go back to reference Aronson E: The social animal. 2011, New York: Worth/Freeman, 11 Aronson E: The social animal. 2011, New York: Worth/Freeman, 11
39.
go back to reference Brown R: Social psychology. 1965, New York: Free Press, Collier Macmillan Brown R: Social psychology. 1965, New York: Free Press, Collier Macmillan
Metadata
Title
Social network diagnostics: a tool for monitoring group interventions
Authors
Sabina B Gesell
Shari L Barkin
Thomas W Valente
Publication date
01-12-2013
Publisher
BioMed Central
Published in
Implementation Science / Issue 1/2013
Electronic ISSN: 1748-5908
DOI
https://doi.org/10.1186/1748-5908-8-116

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