Semantic networks.1 A complete social network contains a quantity of members with incoming and outgoing ties (see left side of Figure 1). Keywords: group research, intergroup behavior, intragroup behavior, social network analysis In doing so, we aim to provide a general introduction for researchers new to this approach, while demonstrating the potential and limitations of social network analysis for different areas in this field. The present article highlights the general relevance of this scientific approach and describes the background, generation, and application of cross-sectional as well as longitudinal network statistics that are of specific interest to group researchers. In particular for the science of groups, social network analysis has reached a point of analytic refinement that makes it a valuable tool for investigating some of the central mechanisms that underlie intra- and intergroup behavior. University of Oxford Social scientists increasingly recognize the potential of social network analysis, which enriches the explanation of human behavior by explicitly taking its social structure into account. This article is intended solely for the personal use of the individual user and is not to be disseminated broadly. This document is copyrighted by the American Psychological Association or one of its allied publishers. Social Network Analysis in the Science of Groups: Cross-Sectional and Longitudinal Applications for Studying Intra- and Intergroup Behavior Ralf Wölfer, Nadira S. Group Dynamics: Theory, Research, and Practice 2015, Vol.
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