‘Understanding the effects of social capital on social innovation ecosystems in Latin America through the lens of Social Network Approach’

2019 ◽  
Vol 29 (1) ◽  
pp. 1-35 ◽  
Author(s):  
Vanessa Alcaide Lozano ◽  
Liliana Arroyo Moliner ◽  
David Murillo ◽  
Heloise Buckland
Keyword(s):  
Social Capital ◽  
Latin America ◽  
Social Network ◽  
Social Innovation ◽  
Network Approach ◽  
Innovation Ecosystems ◽  
Social Network Approach

Social Networks

2017 ◽  
Author(s):  
Kirk A. Foster ◽  
Victoria A. Charles
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Network ◽  
Network Approach ◽  
Research And Practice ◽  
Social Work Research ◽  
Targeted Interventions ◽  
Relational Patterns ◽  
Social Network Approach ◽  
Flow Through

Social networks are structures composed of relational patterns of interactions among a set of actors. These actors may be individuals, families, groups, or organizations connected through expressed ties that allow information and resources to flow through the network. Considering a social network approach in research and practice shifts the focus from the attributes of actors within the network to the relations between them. In understanding how the relational ties influence issues of concern, we may better understand phenomena and devise targeted interventions effectively and efficiently. In this article we discuss the types of social networks, provide an overview of social network analysis, use social capital to contextualize the effects of networks, and provide implications of social networks for social work research and practice.

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.

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