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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. 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. Although the methods here can be applied to wider areas of social science, they are specifically tailored to group process research. A number of data-driven methods adapted to group process research are demonstrated in this current volume. These include text mining, relational event modeling, social simulation, machine learning, social sequence analysis, and response surface analysis. 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. This volume will be of great benefit to those willing to learn computational methods. These include academics like graduate students and faculty, multidisciplinary professionals and researchers working on organization and management science, and consultants for various types of organizations and groups.

Social sciences --- Statistical methods --- Data processing. --- 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. --- Applied psychology. --- Methodology. --- Management of knowledge assets --- Management --- Information technology --- Intellectual capital --- Organizational learning --- Applied psychology --- Psychagogy --- Psychology, Practical --- Social psychotechnics --- Psychology --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data sets, Large --- Large data sets --- Data sets --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Industrial psychology. --- Business psychology --- Industrial psychology --- Psychotechnics --- Industrial engineering --- Personnel management --- Psychology, Applied --- Industrial psychologists --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization

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Organization theory --- Mass communications --- Communication in organizations. --- Telecommunication. --- Communication. --- Communication dans les organisations --- Télécommunications --- Communication --- Communication in organizations --- Telecommunication --- #SBIB:309H250 --- #SBIB:013.AANKOOP --- Communication, Primitive --- Mass communication --- Sociology --- Electric communication --- Telecom --- Telecommunication industry --- Telecommunications --- Information theory --- Telecommuting --- Organizational communication --- Organization --- Interne en externe communicatie: algemene werken --- Télécommunications

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Social conflict --- Conflict (Psychology) --- Conflict management --- Social interaction --- Interpersonal communication

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Small groups --- Research --- Methodology --- Study and teaching --- Research&delete&