A Social Network Approach to the Interplay Between Adolescents’ Bullying and Likeability over Time

2014 ◽  
Vol 43 (9) ◽  
pp. 1409-1420 ◽  
Author(s):  
Miranda Sentse ◽  
Noona Kiuru ◽  
René Veenstra ◽  
Christina Salmivalli
2017 ◽  
Vol 225 (4) ◽  
pp. 302-312 ◽  
Author(s):  
Viktor Dahl

Abstract. This study examines the role of peers in adolescents’ development of universalistic values and positive sentiments toward immigrants, and the extent to which a network of more universalistic or immigrant-friendly peers can reduce approval of violent political means among adolescents. Using longitudinal data on 997 adolescents, the study employed a social network approach to examine these aspects. Results showed no peer influence and peer selection effects for how adolescents develop universalistic values but that peers transfer positive immigrant sentiments to other adolescents over time and also that adolescents tend to select peers with similar sentiments toward immigrants. In addition, whereas peers’ positive sentiments toward immigrants were found not to reduce adolescents’ approval of violent political means over time, such a reducing effect was found for universalistic values. However, further studies are needed to better understand the role of peers with regard to mechanisms underlying adolescents’ development of political orientations.


Author(s):  
Xiangcheng Meng ◽  
Alan H. S. Chan

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.


2019 ◽  
pp. 81-93
Author(s):  
Iliya L. Musabirov ◽  

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.


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