Group Processes - Data-Driven Computational Approaches (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Computational Social Sciences
Release date:	March 2017
First published:	2017
Editors:	Andrew Pilny • Marshall Scott Poole
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Hardcover
Pages:	206
Edition:	1st ed. 2017
ISBN-13:	978-3-319-48940-7
Categories:	Books > Social sciences > Psychology > Occupational & industrial psychology Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	3-319-48940-2
Barcode:	9783319489407

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!