scholarly journals Using Social Network Analysis within a Department of Biomedical Informatics to Induce a Discussion of Academic Communities of Practice

2008 ◽  
Vol 15 (6) ◽  
pp. 780-782 ◽  
Author(s):  
J. Merrill ◽  
G. Hripcsak
2017 ◽  
Vol 13 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Ronel Davel ◽  
Adeline S. A. Du Toit ◽  
Martie M Mearns

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.


Author(s):  
Cindi Smatt ◽  
Molly McLure Wasko

The concept of a community of practice is emerging as an essential building block of the knowledge economy. Brown and Duguid (2001) argue that organizations should be conceptualized as consisting of autonomous communities whose interactions can foster innovation within an organization and accelerate the introduction of innovative ideas. The key to competitive advantage depends on a firm’s ability to coordinate across autonomous communities of practice internally and leverage the knowledge that flows into these communities from network connections (Brown & Duguid, 2001). But how does an organization do this? A key challenge for management is understanding how to balance strategies that capture knowledge without killing it (Brown & Duguid, 2000).


Author(s):  
Dimitris Asimakopoulos ◽  
Jie Yan

Social network analysis (Scott, 2000; Wasserman & Faust, 1994) is a relatively new theory and methodology that has found wide application in social science research. In the early 2000s, an increasing number of scholars have been interested in computerized Social Network Analysis (SNA) and have adopted social network theory and techniques to study communities of practice (CoPs). In this article, the authors introduce SNA from a historical perspective, compare SNA with non-network theories and methods, and introduce popular SNA software packages. With reference to recent empirical research, the authors discuss several areas in which SNA has been applied to CoP research.


2006 ◽  
Vol 49 (1) ◽  
pp. 32-60 ◽  
Author(s):  
Rob Cross ◽  
Tim Laseter ◽  
Andrew Parker ◽  
Guillermo Velasquez

2011 ◽  
pp. 2057-2059
Author(s):  
Cindi Smatt ◽  
Molly McLure Wasko

The concept of a community of practice is emerging as an essential building block of the knowledge economy. Brown and Duguid (2001) argue that organizations should be conceptualized as consisting of autonomous communities whose interactions can foster innovation within an organization and accelerate the introduction of innovative ideas. The key to competitive advantage depends on a firm’s ability to coordinate across autonomous communities of practice internally and leverage the knowledge that flows into these communities from network connections (Brown & Duguid, 2001). But how does an organization do this? A key challenge for management is understanding how to balance strategies that capture knowledge without killing it (Brown & Duguid, 2000).


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