Data Visualization

Cardazone, Gina; Tolman, Ryan

doi:10.1093/med:psych/9780190243654.003.0029

Cited by 2 publications

(5 citation statements)

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“…This concrete representation of abstract concepts (e.g., relationships) anchors conversation and facilitates qualitative research (Hogan, Carrasco, & Wellman, 2007;Kennedy, Green, McCarty, & Tucker, 2011;Molina, Maya-Jariego, & McCarty, 2013;McConnell et al, 2015). It also provides an excellent opportunity for researchers to involve community members, who have rich contextual and experiential knowledge that can greatly contribute to the formation of research questions and interpretation of findings (Cardazone & Tolman, 2016).…”

Section: Network Visualization and Mixed Methods Approachesmentioning

confidence: 99%

“…Mixed methods research that utilizes network approaches is especially promising to this end, as visualization of network data offers an intuitive way for participants to interface with data during qualitative interviews to elicit personal experiences and yield novel insights (Cardazone & Tolman, 2016;Kennedy, Hunter, Osilla, Maksabedian, Golinelli, & Tucker, 2016;Maya-Jariego, Del Corral, Holgado, & Hernández-Ramírez, 2016;McConnell, Birkett, & Shattell, 2015). Network visualizations organize, structure, and display a great deal of complex information in a concise and coherent manner; this facilitates learning and understanding, especially when cognitive processing exceeds working memory limitations, and can be especially useful for multilevel data (Evergreen, 2014;Feldon, 2007;Mayer & Moreno, 2003;Stull & Mayer, 2007;Wilensky & Resnick, 1999;Yoon, 2011).…”

Section: Network Visualization and Mixed Methods Approachesmentioning

confidence: 99%

“…Network visualizations have also been combined with motivational interviewing in an intervention for individuals transitioning from homelessness to housing in order to increase protective social connections and decrease risky social connections, thus reducing alcohol and drug use (Kennedy et al, 2016). Beyond network visualizations, other types of data visualization are also useful for eliciting participant engagement and feedback (Cardazone & Tolman, 2016). For example, research with Black MSM has used geographic map visualizations to depict paths and routines through an urban environment in order to guide qualitative interviews about social and spatial processes and risk environments that might be related to racial disparities in HIV (Tobin et al, 2013).…”

Section: Network Visualization and Mixed Methods Approachesmentioning

confidence: 99%

“…Network visualizations were generated using Gephi (Bastian, Heymann, & Jacomy, 2009) and geospatial visualizations were generated using ArcGIS Desktop (2014). Data visualization guidelines, including presenting information as simply and intuitively as possible, were followed (Cardazone & Tolman, 2016;Evergreen, 2014). Overall, this phase focused on creating visualizations that depict multilevel racial differences in risk environments related to substance use and HIV.…”

Section: Methodsmentioning

confidence: 99%

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Race-Related Social Contextual Factors, Substance Use, and HIV Among Young Men Who Have Sex with Men in Chicago

McConnell¹

2019

Preprint

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Black men who have sex with men (MSM), especially young MSM, are more likely to contract Human Immunodeficiency Virus (HIV) than MSM of other races. However, Black MSM consistently report comparable or fewer individual risk behaviors than MSM of other races. Research thus far has largely targeted individual risk factors and has been unable to account for the mechanisms driving this racial disparity. In addition, although individual risk behaviors occur within particular risk environments, little research examining HIV racial disparities has acknowledged that substance use and other HIV risk behaviors are socially and spatially dependent. Emerging research with Black MSM documents racial/ethnic differences in the individual, venue, and neighborhood level networks of young men who have sex with men (YMSM). These findings suggest that although rates of drug use and other individual risk behaviors may be lower among Black YMSM than other racial/ethnic groups, their consequences may be different due to the nature of the risk environments experienced by these young men. The overall objective of this project was to contribute to knowledge about structural mechanisms (e.g., stigma, discrimination, and resource inequality) that shape risk environments, which in turn shape consequences of substance use and other HIV risk behaviors for YMSM of different races/ethnicities. However, quantitative data describing these social and spatial contexts (i.e., the structure of individual, venue, and neighborhood networks) has limited capacity to explore and explain these complex phenomena, and interpreting these data is problematic without the incorporation of the voices, lived experiences, and insights of YMSM themselves. Therefore, thisstudy used an innovative mixed methods approach to visualize and guide the interpretation of individual, venue, and neighborhood level networks captured within an existing NIH-funded cohort of YMSM. Using an explanatory sequential design, multilevel network and geospatial data were visualized (Phase 1) and subsequently used to guide interviews with YMSM (Phase 2). Grounded theory was used to analyze interview data, leading to a theory of mechanisms that shape HIV racial disparities in this population. The overall project had two aims: 1) demonstrate several mechanisms through networks at the individual, venue, and neighborhood levels form risk environments that shape substance use and HIV risk for White, Black, and Hispanic/Latino YMSM, and 2) demonstrate several structural mechanisms, such as stigma, discrimination, and resource inequality, that shape the individual, venue, and neighborhood level networks and risk environments of White, Black, and Hispanic/Latino YMSM.

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Section: Network Visualization and Mixed Methods Approachesmentioning

confidence: 99%

Section: Network Visualization and Mixed Methods Approachesmentioning

confidence: 99%

Section: Network Visualization and Mixed Methods Approachesmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Race-Related Social Contextual Factors, Substance Use, and HIV Among Young Men Who Have Sex with Men in Chicago

McConnell¹

2019

Preprint

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“…Como apunta Tufte (1997), la documentación de las fuentes y las características de los datos es un paso previo fundamental para conseguir que la visualización pueda tener un papel fundamental en el análisis de la información. Obtener información relevante del contexto y conocer con detalle las características de los datos disponibles, es un paso clave para definir el papel que tendrá la visualización en la exploración de la información y los datos recogidos (Tufte, 1997;Smith, 2013;Cardazone & Tolman, 2016). En nuestro caso, el contexto y las características del programa Ciudades ante las Drogas nos ofrecen algunas claves sobre el papel que puede jugar el análisis de redes en general y la visualización en particular, en la explicación de su funcionamiento y efectividad.…”

Section: Identificando La Información Relevanteunclassified

Estrategias de visualización de redes en intervención comunitaria. Estudio de caso del programa Ciudades ante las Drogas

Ramos

2018

redes

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Estrategias de visualización de redes en intervención comunitaria. Estudio de caso del programa Ciudades ante las DrogasLa visualización es un elemento esencial en Análisis de Redes Sociales, tanto como estrategia para ilustrar y comunicar resultados como herramienta de desarrollo teórico y aplicado. En este artículo mostramos un ejemplo de aplicación de la visualización para analizar las relaciones entre un conjunto de coordinadores del programa Ciudades ante las Drogas en la provincia de Sevilla. Para que la visualización sea una herramienta efectiva en Análisis de Redes Sociales se requiere: (a) el análisis detallado de los datos relacionales y del contexto del que provienen, (b) su uso como herramienta exploratoria para la detección de variables de interés, (c) la representación adecuada de atributos e indicadores estructurales de los actores y de las relaciones, (d) el uso de herramientas de agrupamiento de los actores y de sistematización de la estructura de relaciones entre ellos, y (e) la combinación apropiada de estrategias de representación del estatus y la posición de los actores y de las relaciones derivadas de ellos. En este caso, la visualización demuestra ser una herramienta adecuada para el análisis del contexto de implementación de programas de prevención comunitaria del consumo y abuso de drogas. Sirve para explorar los datos de relaciones de intercambio de información y recursos de prevención entre los coordinadores del programa. Además, permite mostrar el papel que variables individuales y contextuales como la experiencia a cargo del programa en el municipio, la propincuidad y la ubicación geográfica tienen en la estructuración de las relaciones entre los coordinadores y por tanto en la efectividad de su implementación. Palabras clave: Visualización -análisis de redes sociales -prevención comunitaria -Ciudades ante las Drogas.Visualization is an essential element in Social Network Analysis, both as a strategy to illustrate and communicate results and as a tool for theoretical and applied development. In this article we show an example of the application of visualization to analyse the relations between a group of coordinators of Ciudades ante las Drogas program in the province of Seville. To be an effective tool in Social Network Analysis, visualization requires: (a) the detailed description of the relational data and the context from which they are derived, (b) its use as an exploratory tool for the detection of variables of interest, (c) the adequate representation of attributes and structural indicators of actors and relationships, (d) the use of tools for grouping actors and the systematization of the relational structure among them, and (e) the appropriate combination of strategies for representing the status and position of actors and the relationships derived from them. In this case, visualization proves to be a suitable tool for the analysis of the context of the implementation of community prevention. It serves to explore data on exchange of information and prevention resources among ...

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Data Visualization

Cited by 2 publications

References 0 publications

Race-Related Social Contextual Factors, Substance Use, and HIV Among Young Men Who Have Sex with Men in Chicago

Race-Related Social Contextual Factors, Substance Use, and HIV Among Young Men Who Have Sex with Men in Chicago

Estrategias de visualización de redes en intervención comunitaria. Estudio de caso del programa Ciudades ante las Drogas

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