ABSTRACT
This chapter offers an introduction to the fundamental concepts and techniques of social network analysis (SNA). It uses many of the techniques and measures outlined above, in conjunction with more narrative-focused methods. Network measures and changes in them are used to raise questions which a more conventional approach to historical sociology then seeks to answer and vice versa. Mean averages of node level measures are sometimes used as whole network measures and average degree and average ego-net density in particular are sometimes used as correctives to density. However, it was an important first step in early attempts to statistically model networks. The chapter argues that studying single modes, when they are derived from two-mode data, involves a loss of important information about network structure. This doesn't work for all routines but it is important where it does. Everett and Borgatti focus on blockmodels and core-periphery analysis in particular.
