Group Processes: Data-Driven Computational Approaches

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.