Group processes : data-driven computational approaches / Andrew Pilny, Marshall Scott Poole, editors.
2017
HA29
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Title
Group processes : data-driven computational approaches / Andrew Pilny, Marshall Scott Poole, editors.
ISBN
9783319489414 (electronic book)
3319489410 (electronic book)
9783319489407
3319489402
3319489410 (electronic book)
9783319489407
3319489402
Published
Cham, Switzerland : Springer, [2017].
Copyright
©2017
Language
English
Description
1 online resource : illustrations.
Item Number
10.1007/978-3-319-48941-4 doi
Call Number
HA29
Dewey Decimal Classification
300.1/5195
004
004
Summary
This 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.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Vendor-supplied metadata.
Series
Computational social sciences.
Available in Other Form
Print version: 9783319489407
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