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.

Understanding Knowledge Networks Through Social Network Analysis

2020 ◽  
pp. 71-102
Author(s):  
Ronel Davel ◽  
Adeline S. A. Du Toit ◽  
Martie Mearns
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
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, 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 chapter 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 Carer experience of end-of-life service provision: a social network analysis

2018 ◽  
Vol 10 (2) ◽  
pp. e20-e20 ◽  
Author(s):  
Rosemary Leonard ◽  
Debbie Horsfall ◽  
John Rosenberg ◽  
Kerrie Noonan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
End Of Life ◽  
Service Provision ◽  
End Of Life Care ◽  
Service Providers ◽  
Informal Networks ◽  
Formal Service ◽  
Similar Density

ObjectiveTo identify the position of formal service providers in the networks of those providing end-of-life care in the home from the perspective of the informal network.MethodsUsing third-generation social network analysis, this study examined the nature and strength of relationships of informal caring networks with formal service providers through individual carer interviews, focus groups of caring networks and outer network interviews.ResultsService providers were usually highly valued for providing services, equipment, pain management and personalised care for the dying person plus support and advice to the principal carer about both caring tasks and negotiating the health system. However, formal service providers were positioned as marginal in the caring network. Analysis of the relative density of relationships within networks showed that whereas relationships among family and friends had similar density, relationships between service providers and family or friends were significantly lower.ConclusionThe results supported the Circles of Care model and mirror the perspective of formal service providers identified in previous research. The research raises questions about how formal and informal networks might be better integrated to increase their effectiveness for supporting in-home care.

Social Network Analysis

2011 ◽  
pp. 1460-1469
Author(s):  
David J. Dekker ◽  
Paul H.J. Hendriks
Keyword(s):  
Knowledge Management ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Development Project ◽  
Knowledge Networks ◽  
Knowledge Processes ◽  
Social Network Structure ◽  
Product Development Project ◽  
Practice Knowledge

In knowledge management (KM), one perspective is that knowledge resides in individuals who interact in groups. Concepts as communities-of-practice, knowledge networks, and “encultured knowledge” as the outcome of shared sense-making (Blackler, 1995) are built upon this perspective. Social network analysis focuses on the patterns of people’s interactions. This adds to KM theory a dimension that considers the effects of social structure on for example, knowledge creation, retention and dissemination. This article provides a short overview of consequences of social network structure on knowledge processes and explores how the insights generated by social network analysis are valuable to KM as diagnostic elements for drafting KM interventions. Relevance is apparent for management areas such as R&D alliances, product development, project management, and so forth.

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.

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