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Social network analysis has been one of the fastest growing and most influential areas of recent times. Why has this happened? What are the key features of social network analysis?
This sparkling Handbook offers an unrivalled resource. Systematically, it introduces readers to the key concepts, substantive topics, central methods, and prime debates. Among the specific areas covered are: Network theory; Interdisciplinary applications; Online networks; Corporate networks; Lobbying networks; Deviant networks; Measuring devices; Key Methodologies; Software applications
The result is a peerless resource for teachers and students. It offers a critical survey of the origins, basic issues and major debates. Instead of consulting a variety of books and journal articles, the Handbook offers a one-stop guide that will be used by readers for decades to come.
Chapter 33: Network Dynamics
A Dynamic Approach to Network Analysis
Dynamic ideas have been pursued in much of social network analysis. Network dynamics is important for domains ranging from friendship networks (e.g., Pearson and West, 2003; Burk et al., 2007) to, for example, interorganizational networks (see the review articles by Borgatti and Foster, 2003; Brass et al., 2004). However, formal models of analysis, both in the tradition of discrete mathematics and in the tradition of statistical inference, have for a long time focused mainly on single (i.e., cross-sectional) methods of analysis.
Some History: Empirical Research
Important early longitudinal network studies were those by Nordlie (1958) and Newcomb (1961), who studied friendships in a college fraternity based on the empirical data collected; Coleman's (1961) Adolescent Society study with friendship ...