Analysis of Social Capital Formation Strategy according to Association Technique of Voluntary Association of Civil Society: NGO Solidarity Activity in Busan with Social Network Analysis

2019 ◽  
Vol 14 (1) ◽  
pp. 35-82
Author(s):  
Sun-mi Park ◽  
◽  
Jae-hyun Kim ◽  
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Civil Society ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Capital Formation ◽  
Voluntary Association

Understanding Knowledge Networks Through Social Network Analysis

2017 ◽  
Vol 13 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Ronel Davel ◽  
Adeline S. A. Du Toit ◽  
Martie M Mearns
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Communities Of Practice ◽  
Knowledge Networks ◽  
Informal Networks ◽  
Process Map ◽  
Knowledge Maps

Social network analysis (SNA) is being increasingly deployed as an instrument to plot knowledge and expertise as well as to confirm the character of connections in informal networks within organisations. This study investigated how the integration of networking into KM can produce significant advantages for organisations. The aim of the research was to examine how the interactions between SNA, Communities of Practice (CoPs) and knowledge maps could potentially influence knowledge networks. The researchers endeavour to illustrate via this question that cultivating synergies between SNA, CoPs and knowledge maps will enable organisations to produce stronger knowledge networks and ultimately increase their social capital. This article intends to present a process map that can be useful when an organisation wants to positively increase its social capital by examining influencing interactions between SNA, CoPs and knowledge maps, thereby enhancing the manner in which they share and create knowledge.

scholarly journals Using Social Network Analysis and Social Capital to Identify User Roles on Polarized Political Conversations on Twitter

2019 ◽  
Vol 5 (2) ◽  
pp. 205630511984874 ◽  
Author(s):  
Raquel Recuero ◽  
Gabriela Zago ◽  
Felipe Soares
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Opinion Leaders ◽  
Information Flows ◽  
Network Metrics ◽  
Network Analysis Metrics

In this article, we discuss the roles users play in political conversations on Twitter. Our case study is based on data collected in three dates during the former Brazilian president Lula’s corruption trial. We used a combination of social network analysis metrics and social capital to identify the users’ roles during polarized discussions that took place in each of the dates analyzed. Our research identified four roles, each associated with different aspects of social capital and social network metrics: activists, news clippers, opinion leaders, and information influencers. These roles are particularly useful to understand how users’ actions on political conversations may influence the structure of information flows.

scholarly journals Institutions and Civil Society Relations in Migori County (Kenya): A Social Network Analysis of Weak and Strong Ties

2020 ◽  
Vol 15 (11) ◽  
pp. 1
Author(s):  
Teodora Erika Uberti ◽  
Francesco Salsano
Keyword(s):  
Social Network ◽  
Civil Society ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Policy Networks ◽  
Civil Society Organizations ◽  
Strong Ties ◽  
The Core ◽  
Health And Nutrition ◽  
Core Actor

The goal of this paper is to investigate policy networks in Migori, a small county in the Western part of Kenya, near the border with Tanzania and Victoria Lake. In this study we build a unique network database and we use Social Network Analysis techniques to detect the structural relations among different stakeholders (e.g. institutions and civil society actors) within this county and we focus on different topics (i.e. overall interactions, training and cooperation, and for specific decision making on health and nutrition, and agricultural issues). The main results show the importance to distinguish, in policy networks, the rationale of interactions and their intensity, i.e. weak or strong ties. Institutions and civil society organizations are differently connected according to the functions and intensity of networks in which they operate. For example, for health and nutrition the Ministry is the core actor; the opposite occurs in agriculture, where local communities are the core players; and finally in training and coordination we have an intermediate layout, if compared to the two previous ones.

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