Group Processes Data-Driven Computational Approaches /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Pilny, Andrew (Editor), Poole, Marshall Scott (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Computational Social Sciences,
• Subjects: Computer science.; Knowledge management.; Big data.; Data mining.; Computer simulation.; Social sciences.; Computer Science.; Simulation and Modeling.; Methodology of the Social Sciences.; Big Data/Analytics.; Data Mining and Knowledge Discovery.; Industrial and Organizational Psychology.; Knowledge Management.

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. Computat...

Table of Contents:

• Introduction
• Response Surface Models to Analyze Nonlinear Group Phenomena
• Causal Inference using Bayesian Network
• A Relational Event Approach to Modeling Behavioral Dynamics
• Text Mining Tutorial
• Sequential Synchronization Analysis
• Group Analysis using Machine Learning Techniques
• Simulation and Virtual Experimentation: Grounding with Empirical Data.