Ikenet: Social network analysis of e-mail traffic in the Eisenhower Leadership Development Program

Author(s):  
Ian McCulloh ◽  
Grace Garcia ◽  
Kelsey Tardieu ◽  
Jennifer MacGibbon ◽  
Heather Dye ◽  
...  
2020 ◽  
Author(s):  
James Middleton ◽  
Eugene Judson ◽  
Stephen Krause ◽  
Robert Culbertson ◽  
Keith Hjelmstad ◽  
...  

Contemporary social network analysis deals with network data of varying nature. An important source of this variety comes from availability of continuous, temporal data from online and digitalized interactions between actors. E-mail exchanges or Twitter activity are some examples of such data. This chapter introduces terminology to classify network data according to its content. In addition, it exemplifies research on temporal data and methods used in analysis of such data.


Author(s):  
Burçin Güçlü ◽  
Miguel Ángel Canela ◽  
Inés Alegre

Social network analysis has been widely used by organizational behavior researchers to stress the importance of the context, social connections, and social structure on human behavior. In the last decade, social network analysis has emerged as one of the most useful techniques for exploring online social networks, world wide web, e-mail traffic, and logistic operations. In this chapter, the authors present an application of social network analysis techniques for academic research. The authors choose Kahneman and Tversky's prospect theory as the focus of their analysis and, based on that, develop a co-authorship structure that depicts in a clear manner the key authors and/or the researchers that dominate and bridge different sub-fields in the field of management. The authors discuss the implications of this study for academic research and management discipline.


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