Group Processes ― Data-driven Computational Approaches

系列名：Computational Social Sciences
ISBN13：9783319489407
出版社：Springer-Verlag New York Inc
作者：Andrew Pilny (EDT); Marshall Scott Poole (EDT)
裝訂：精裝
規格：23.5cm*15.5cm (高/寬)
出版日：2017/03/15
關鍵字： Group Processes ― Data-driven Computational Approaches、 Group、 Processes、 Data、 driven、 Computational、 Approaches、 Springer-Verlag New York Inc、 Andrew Pilny (EDT)、 Marshall Scott Poole (EDT)、外文書、 Systems、

杜威圖書分類： Systems

定價：NT$ 6750 元

優惠價：90 折 6075 元

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This volume introduces a series of different data-driven computational methods for analyzing group processes through didactic and tutorial-based examples. A number of data-driven methods adapted to group process research, including text mining, relational event modeling, machine learning, and response surface analysis are covered. As such, in order to take advantage of these new opportunities, this book provides clear examples (e.g., providing code) of group processes in various contexts, setting guidelines and best practices for future work to build upon. The first part of the book deals with inputs that influence group processes like task and individual attributes. Dynamics of group processes, which include both evolution and reproduction are presented next, and the book concludes by covering the outcomes of group processes on phenomena like team performance and individual perceptions.

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. Group Processes will be of great benefit to the multidisciplinary professionals and researchers working on organization and management science.

作者簡介

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.