Are the ambitions for Group Dynamics: Theory, Research and Practice being fulfilled? A social network analysis of citations of journals publishing group research.

2017 ◽  
Vol 21 (3) ◽  
pp. 178-185
Author(s):  
Yun Lu ◽  
Brian TaeHyuk Keum ◽  
Eddie S. K. Chong ◽  
Jeffrey G. Yeung ◽  
Dennis M. Kivlighan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Group Dynamics ◽  
Research And Practice ◽  
Group Research ◽  
Publishing Group ◽  
Theory Research

scholarly journals Nursing Students’ Subjective Happiness: A Social Network Analysis

2021 ◽  
Vol 18 (21) ◽  
pp. 11612
Author(s):  
Eun-Joo Kim ◽  
Ji-Young Lim ◽  
Geun-Myun Kim ◽  
Seong-Kwang Kim
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Nursing Students ◽  
Network Analysis ◽  
Group Dynamics ◽  
Future Research ◽  
Subjective Happiness ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
High Level

Improving nursing students’ subjective happiness is germane for efficiency in the nursing profession. This study examined the subjective happiness of nursing students by applying social network analysis (SNA) and developing a strategy to improve the subjective happiness of nursing. The study adopted a cross sectional survey to measure subjective happiness and social network of 222 nursing students. The results revealed that the centralization index, which is a measure of intragroup interactions from the perspective of an entire network, was higher in the senior year compared with the junior year. Additionally, the indegree, outdegree, and centrality of the social network of students with a high level of subjective happiness were all found to be high. This result suggests that subjective happiness is not just an individual’s psychological perception, but can also be expressed more deeply depending on the subject’s social relationships. Based on the study’s results, to strengthen self-efficacy and resilience, it is necessary to utilize strategies that activate group dynamics, such as team activities, to improve subjective happiness. The findings can serve as basic data for future research focused on improving nursing students’ subjective happiness by consolidating team-learning social networks through a standardized program approach within a curriculum or extracurricular programs.

Using Social Network Analysis to Better Understand Compulsive Exercise Behavior Among a Sample of Sorority Members

2017 ◽  
Vol 14 (5) ◽  
pp. 360-367 ◽  
Author(s):  
Megan S. Patterson ◽  
Patricia Goodson
Keyword(s):  
Physical Activity ◽  
Eating Disorders ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Body Dissatisfaction ◽  
Group Dynamics ◽  
Exercise Behavior ◽  
Quadratic Assignment ◽  
Compulsive Exercise

Background:Compulsive exercise, a form of unhealthy exercise often associated with prioritizing exercise and feeling guilty when exercise is missed, is a common precursor to and symptom of eating disorders. College-aged women are at high risk of exercising compulsively compared with other groups. Social network analysis (SNA) is a theoretical perspective and methodology allowing researchers to observe the effects of relational dynamics on the behaviors of people.Methods:SNA was used to assess the relationship between compulsive exercise and body dissatisfaction, physical activity, and network variables. Descriptive statistics were conducted using SPSS, and quadratic assignment procedure (QAP) analyses were conducted using UCINET.Results:QAP regression analysis revealed a statistically significant model (R2 = .375, P < .0001) predicting compulsive exercise behavior. Physical activity, body dissatisfaction, and network variables were statistically significant predictor variables in the QAP regression model.Discussion:In our sample, women who are connected to “important” or “powerful” people in their network are likely to have higher compulsive exercise scores. This result provides healthcare practitioners key target points for intervention within similar groups of women. For scholars researching eating disorders and associated behaviors, this study supports looking into group dynamics and network structure in conjunction with body dissatisfaction and exercise frequency.

scholarly journals Mapping the field of educational administration research: a journal citation network analysis

2016 ◽  
Vol 54 (3) ◽  
Author(s):  
Yinying Wang ◽  
Alex J. Bowers
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Educational Administration ◽  
Design Methodology ◽  
Citation Network ◽  
Research Literature ◽  
Citation Network Analysis ◽  
Theory Research ◽  
Journal Citation

Purpose The purpose of this study is to uncover how knowledge is exchanged and disseminated in the educational administration research literature through the journal citation network. Design/methodology/approach Drawing upon social network theory and citation network studies in other disciplines, we constructed an educational administration journal citation network by extracting all 157,372 citations from 5,359 journal articles in 30 educational administration journals from 2009 to 2013. We then performed social network analysis to visualize the network structure by journal clusters, and quantified journal prominence and interdisciplinarity by calculating Freeman indegree and betweenness, respectively. In addition to journal-to-journal citations, we examined the sources of non-journal citations by citation counts. Findings The results of journal prominence, interdisciplinarity, and eight journal clusters in the citation network indicate that educational administration, as a porous field, intimately interacts with the sub-fields of education (e.g., urban education and teacher education), other disciplines (e.g., economics, human resources, sociology, and psychology), and the research internationally. In addition to journals as the knowledge source (45.29%), we also found books (31.08%) and reports (14.98%) are important citation sources in the educational administration research literature. The most cited books and reports shed light on the knowledge base in the theory, research, and practice of educational administration. Originality/value The results of this by far the largest-scale study of educational administration journals present abundant evidence that educational administration is a porous field. This study also presents social network analysis as an alternative method to evaluate journal influence in the educational administration field.

scholarly journals The use of social network analysis to describe the effect of immune activation on group dynamics in pigs

animal ◽  
2021 ◽  
Vol 15 (9) ◽  
pp. 100332
Author(s):  
C. Veit ◽  
S. Foister ◽  
A. Valros ◽  
C. Munsterhjelm ◽  
D.A. Sandercock ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Group Dynamics ◽  
Immune Activation
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