Group Processes Data-Driven Computational Approaches /

Group Processes Data-Driven Computational Approaches /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Pilny, Andrew. (Editor), Poole, Marshall Scott. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Computational Social Sciences,
Subjects:
Computer simulation.
Social sciences.
Big data.
Data mining.
Industrial psychology.
Knowledge management.
Simulation and Modeling.
Methodology of the Social Sciences.
Big Data/Analytics.
Data Mining and Knowledge Discovery.
Industrial and Organizational Psychology.
Knowledge Management.
Online Access:https://doi.org/10.1007/978-3-319-48941-4
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.

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