Social Network Analysis as a Toolkit for the Science of Social Work

Rice, Eric; Yoshioka‐Maxwell, Amanda

doi:10.1086/682723

Cited by 50 publications

(27 citation statements)

References 43 publications

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“…Nodes or vertices represent individual actors within networks, in which ties (also called edges or links) represent types of interactions that bind actors [14,27,28]. This approach in team sports research raises pertinent questions, including: What differentiates this approach from others applied in team sports performance analyses?…”

Section: Social Network Analysis: An Interdisciplinary Perspective Onmentioning

confidence: 99%

Team Sports Performance Analysed Through the Lens of Social Network Theory: Implications for Research and Practice

et al. 2017

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This paper discusses how social network analyses and graph theory can be implemented in team sports performance analyses to evaluate individual (micro) and collective (macro) performance data, and how to use this information for designing practice tasks. Moreover, we briefly outline possible limitations of social network studies and provide suggestions for future research. Instead of cataloguing discrete events or player actions, it has been argued that researchers need to consider the synergistic interpersonal processes emerging between teammates in competitive performance environments. Theoretical assumptions on team coordination prompted the emergence of innovative, theoretically driven methods for assessing collective team sport behaviours. Here, we contribute to this theoretical and practical debate by re-conceptualising sports teams as complex social networks. From this perspective, players are viewed as network nodes, connected through relevant information variables (e.g. a ball-passing action), sustaining complex patterns of interaction between teammates (e.g. a ball-passing network). Specialised tools and metrics related to graph theory could be applied to evaluate structural and topological properties of interpersonal interactions of teammates, complementing more traditional analysis methods. This innovative methodology moves beyond the use of common notation analysis methods, providing a richer understanding of the complexity of interpersonal interactions sustaining collective team sports performance. The proposed approach provides practical applications for coaches, performance analysts, practitioners and researchers by establishing social network analyses as a useful approach for capturing the emergent properties of interactions between players in sports teams.

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Section: Social Network Analysis: An Interdisciplinary Perspective Onmentioning

confidence: 99%

Team Sports Performance Analysed Through the Lens of Social Network Theory: Implications for Research and Practice

et al. 2017

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“…Social network analysis has a long tradition in social science. The basic idea is that individuals are embedded in the complex networks of social relations (Rice & Yoshioka-Maxwell, 2015; Berry et al, 2004). The question network analysis tries to answer concerns the patterns in these connections (Scott, 1988), the social outcomes influenced by these relational ties and the actors’ position within the social network structure, and the interactions between actors (Borgatti, Mehra, Brass, & Labianca, 2009; Krause, Croft, & James, 2007).…”

Section: Contentsmentioning

confidence: 99%

“…The analysis of getting a job through personal informal ties made by Mark Granovetter (1974) greatly boosts the study of social networks in sociology. The weak-tie theory he proposed attaches importance to the mediation impact of social networks on the linkages between employees and employers (Rice & Yoshioka-Maxwell, 2015; Berry et al, 2004). Chinese society has had an inherent relational culture for a long time, which perfectly matches the network perspective (Bian & Li, 2012).…”

Section: Contentsmentioning

confidence: 99%

China Labor-force Dynamics Survey

Jin

Zhou

Liu

2017

Chinese Sociological Dialogue

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The China Labor-force Dynamics Survey (CLDS), launched by Sun Yat-Sen University, is the first national longitudinal social survey targeted at the labor force in China. Using a rotating panel design, the survey is conducted every two years and has accumulated three waves of data now. In this article, we introduce the theoretical background, sample design, and implementation of the survey. We also summarize some scholarly themes which CLDS can be applied to by presenting descriptive statistical results.

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“…Secondly, there is a need to communicate and coordinate dialogue across cultures and geographies and as a means of addressing problems that are increasingly manifest in a globalized, borderless, health policy arena. Nursing is not unique in recognizing these issues as other practice‐based disciplines such as social work have also been researching the problem (Rice & Yoshioka‐Maxwell ). These realizations should not be a surprise as increasingly there are opportunities through initiatives such as the Millennium Development Goals, the Sustainable Development Goals, and the Global Human Resources for Health 2030 Development Strategy for nurses and other disciplines to collaborate to address global challenges (Global Health Workforce Alliance ; UN Secretary General ).…”

Section: Discussionmentioning

confidence: 99%