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000780094 24500 $$aGroup processes :$$bdata-driven computational approaches /$$cAndrew Pilny, Marshall Scott Poole, editors.
000780094 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2017].
000780094 264_4 $$c©2017
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000780094 4901_ $$aComputational social sciences
000780094 504__ $$aIncludes bibliographical references.
000780094 506__ $$aAccess limited to authorized users.
000780094 520__ $$aThis volume introduces a series of different data-driven computational methods for analyzing group processes through didactic and tutorial-based examples. Group processes are of central importance to many sectors of society, including government, the military, health care, and corporations. Computational methods are better suited to handle (potentially huge) group process data than traditional methodologies because of their more flexible assumptions and capability to handle real-time trace data. Indeed, the use of methods under the name of computational social science have exploded over the years. However, attention has been focused on original research rather than pedagogy, leaving those interested in obtaining computational skills lacking a much needed resource. Although the methods here can be applied to wider areas of social science, they are specifically tailored to group process research. A number of data-driven methods adapted to group process research are demonstrated in this current volume. These include text mining, relational event modeling, social simulation, machine learning, social sequence analysis, and response surface analysis. In order to take advantage of these new opportunities, this book provides clear examples (e.g., providing code) of group processes in various contexts, setting guidelines and best practices for future work to build upon. This volume will be of great benefit to those willing to learn computational methods. These include academics like graduate students and faculty, multidisciplinary professionals and researchers working on organization and management science, and consultants for various types of organizations and groups.
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000780094 7001_ $$aPilny, Andrew,$$eeditor.
000780094 7001_ $$aPoole, Marshall Scott,$$d1951-$$eeditor.
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000780094 830_0 $$aComputational social sciences.
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