Produktbild: Group Processes

Group Processes Data-Driven Computational Approaches

118,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.08.2018

Abbildungen

VI, 206 p. 80 illus., 59 illus. in color.

Herausgeber

Andrew Pilny + weitere

Verlag

Springer

Seitenzahl

206

Maße (L/B/H)

23,5/15,5/1,2 cm

Gewicht

330 g

Auflage

Softcover reprint of the original 1st ed. 2017

Sprache

Englisch

ISBN

978-3-319-84053-6

Beschreibung

Portrait

Andrew Pilny (Ph.D., University of Illinois) is an assistant professor in the Department of Communication at the University of Kentucky. His main research areas concern the development of effective organizing social systems and structures. His research has been applied to nonprofit organizations, social movement groups, work teams, and dark organizations. Andy also specializes in social network analysis.

Marshall Scott Poole (Ph.D., University of Wisconsin) is the David L. Swanson Professor of Communication, Senior Research Scientist at the National Center for Supercomputing Applications, and Director of I-CHASS: The Institute for Computing in the Humanities, Arts, and Social Sciences at the University of Illinois. He is also a CCSS Fellow in the Organization Science Program at Vrije University in Amsterdam, Netherlands. His research interests include group and organizational communication, information and communication technologies, collaboration, organizational change and innovation, and theory construction.

 

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.08.2018

Abbildungen

VI, 206 p. 80 illus., 59 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

206

Maße (L/B/H)

23,5/15,5/1,2 cm

Gewicht

330 g

Auflage

Softcover reprint of the original 1st ed. 2017

Sprache

Englisch

ISBN

978-3-319-84053-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Group Processes
  • 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.