Abstract
Social network analysis (SNA) is a set of procedures that use indices of relatedness among individuals to produce representations of social structures and positions inherent in dyads or groups. This approach differs from traditional research strategies in that the focus is on developing an understanding of the ongoing transactions and the implications of transactional patterns between individuals, groups, or other social units. Although the primary emphasis in SNA is on the social context, network analysts also include traditional individual-differences variables as potential explanatory factors. SNA methods provide the means to derive a more complete view of a given social environment. A group-psychotherapy example is used to provide an overview of SNA, introducing the concepts, notation, and statistical methods used by the current generation of network researchers. Methodological issues are discussed, applications are reviewed, and resources are recommended for those wishing to learn more about SNA.
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