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In this paper, we describe the evolution and impact of computer-supported cooperative work (CSCW) research through social network analysis of coauthorship data. A network of authors as nodes and shared papers as links is used to compare patterns of growth and collaboration in CSCW with other domains, such as high-energy physics and computer science. Further, the coauthorship network data are used to depict dynamic changes in the structure of CSCW collaborations over time. Examination of these changes shows high volatility in the composition of the CSCW research community over decade-long time spans. These data are augmented by a brief citation analysis of recent CSCW conferences. We discuss the implications of the CSCW findings in terms of the influence of CSCW research on the larger field of HCI research as well as the general utility of social network analysis for understanding patterns of collaboration.
Horn et al. (Sat,) studied this question.