Group Processes
Data-Driven Computational Approaches
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ISBN-13:
9783319840536
Veröffentl:
2018
Einband:
Paperback
Erscheinungsdatum:
07.08.2018
Seiten:
212
Autor:
Marshall Scott Poole
Gewicht:
330 g
Format:
235x155x12 mm
Serie:
Computational Social Sciences
Sprache:
Englisch
Beschreibung:
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.
Provides up-to-date and innovative computational approaches that are adapted to the inputs, dynamics, and outcomes of group processes
Introduction.- Group Processes in the Age of CSS and Big Data.- Group Processes Inputs.- Response Surface Methodology for Nonlinear Factors.- Algorithms for Team Assembly.- Group Processes Dynamics.- Relational Event Analysis for Group Interaction.- Automated Text Mining to Analyze Communication Content.- Social Sequence Analysis Approach for Action Groups.- Group Processes Outputs.- Probablistic Graphical Models to Analyze Causality.- Machine Learning Classification to Understand Group Performance.
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