scholarly journals Exploring the causes and consequences of cooperative behaviour in wild animal populations using a social network approach

2021 ◽  
Author(s):  
Samin Gokcekus ◽  
Ella F. Cole ◽  
Ben C. Sheldon ◽  
Josh A. Firth
Keyword(s):  
Social Network ◽  
Wild Animal ◽  
Cooperative Behaviour ◽  
Network Approach ◽  
Animal Populations ◽  
Social Network Approach

scholarly journals Current States and Future Trends in Safety Research of Construction Personnel: A Quantitative Analysis Based on Social Network Approach

2021 ◽  
Vol 18 (3) ◽  
pp. 883
Author(s):  
Xiangcheng Meng ◽  
Alan H. S. Chan
Keyword(s):  
Social Network ◽  
Path Analysis ◽  
Construction Industry ◽  
Occupational Safety ◽  
Future Trends ◽  
Network Approach ◽  
Main Path ◽  
Safety Research ◽  
Main Path Analysis ◽  
Social Network Approach

The construction industry is recognized as a high-risk industry given that safety accidents and personnel injuries frequently occur. This study provided a systematic and quantitative review of existing research achievements by conducting social network approach to identify current states and future trends for the occupational safety of construction personnel. A total of 250 peer-reviewed articles were collected to examine the research on safety issues of workers in construction industry. Social network approach was applied to analyze the interrelationship among authors, keywords, and citations of these articles using VOS viewer and CitNetExplorer. A knowledge structure map was drawn using main path analysis (MPA) towards the collected papers, which was implemented by Pajek. In line with the findings of social network analysis, five research groups, and six keyword themes were identified in accordance with the times of cooperation of researchers and correlation among keywords of the papers. Core papers were identified by using main path analysis for each research domain to represent the key process and backbone for the corresponding area. Based on the finding of the research, significant implications and insights in terms of current research status and further research trends were provided for the scholars, thus helping generate a targeted development plan for occupational safety in construction industry.

scholarly journals Designing Educational Analytics Tools Using Visualization Based on Behavioral, Motivational, and Social Network Data

2019 ◽  
pp. 81-93
Author(s):  
Iliya L. Musabirov ◽  
Keyword(s):  
Social Network ◽  
Social Values ◽  
Network Data ◽  
Network Approach ◽  
Social Network Data ◽  
Use Of Data ◽  
University Courses ◽  
The Social ◽  
Social Network Approach ◽  
Visualization Tools

The article presents a description of the approach to the use of data visualization in various educational Analytics tools when building University courses. In addition to the analysis of educational behavior, socio-psychological approaches, including the theory of expectations and social values, and the social network approach, are separately considered as prospects for analysis. An example of designing training Analytics using modern data analysis and visualization tools is analyzed.

The Development of Capacity for Data Use: The Role of Teacher Networks in an Elementary School

2015 ◽  
Vol 117 (4) ◽  
pp. 1-34 ◽  
Author(s):  
Elizabeth Farley-Ripple ◽  
Joan Buttram
Keyword(s):  
Professional Development ◽  
Elementary School ◽  
Social Network ◽  
Teaching And Learning ◽  
School Context ◽  
Data Use ◽  
Successful Implementation ◽  
Network Approach ◽  
Teacher Networks ◽  
Social Network Approach

Background Amid calls for increased data use, there is little research or policy guidance for how to build schools’ capacity to leverage data to improve teaching and learning. Building on previous research highlighting the social nature of data use, we contend that in order to understand how capacity develops, research must focus on relationships and networks that support educators’ practice, conceptualizing capacity as socially embedded. Purpose This article explores the development of data use capacity in an elementary school through a social network approach. Our analysis focuses on the structure of data advice networks, the characteristics of perceived experts in the network, and the productiveness of the network in terms of influencing beliefs and practice. Population Data come from a sample of 42 educators from an elementary school exemplified by its district as a strong user of data to improve teaching and learning. Participants completed a survey about their data use beliefs, practices, and school context, as well as a social network questionnaire indicating from whom they sought advice on using data. Research Design We used the survey data to identify characteristics of the schools’ data use networks using descriptive statistics and social network analysis (SNA). SNA was also used to develop measures of structural location in those networks, which were then used to predict similarities in teachers’ beliefs and practices around data use. Findings Findings reveal that data use networks are influenced by the larger professional structure of the school, with data advice being from colleagues who are part of their larger professional network. Network structure reveals few highly central “advice givers” and many “advice seekers” connected by teachers and leaders who serve as brokers of advice. We find that brokers may play an important role in developing shared practices, given that the indirect relationships they support are predictive of shared data use practices. Conclusions This research is among the first to explore data use through a social network approach and offers early evidence about how educators’ networks enable schools to build capacity for data use. Our findings have implications for the design of professional development, for professional development for school leaders, and for successful implementation of reforms related to data use.

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