LEADER 04949nam 22007335 450 001 9910254837803321 005 20200629170302.0 010 $a3-319-48941-0 024 7 $a10.1007/978-3-319-48941-4 035 $a(CKB)3710000001094935 035 $a(DE-He213)978-3-319-48941-4 035 $a(MiAaPQ)EBC4819645 035 $a(PPN)199768617 035 $a(EXLCZ)993710000001094935 100 $a20170307d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGroup Processes $eData-Driven Computational Approaches /$fedited by Andrew Pilny, Marshall Scott Poole 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (VI, 206 p. 80 illus., 59 illus. in color.) 225 1 $aComputational Social Sciences,$x2509-9574 311 $a3-319-48940-2 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- 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. 330 $aThis volume introduces a series of different data-driven computational methods for analyzing group processes through didactic and tutorial-based examples. Group processes are of central importance to many sectors of society, including government, the military, health care, and corporations. Computational methods are better suited to handle (potentially huge) group process data than traditional methodologies because of their more flexible assumptions and capability to handle real-time trace data. Indeed, the use of methods under the name of computational social science have exploded over the years. However, attention has been focused on original research rather than pedagogy, leaving those interested in obtaining computational skills lacking a much needed resource. Although the methods here can be applied to wider areas of social science, they are specifically tailored to group process research. A number of data-driven methods adapted to group process research are demonstrated in this current volume. These include text mining, relational event modeling, social simulation, machine learning, social sequence analysis, and response surface analysis. In order to take advantage of these new opportunities, this book provides clear examples (e.g., providing code) of group processes in various contexts, setting guidelines and best practices for future work to build upon. This volume will be of great benefit to those willing to learn computational methods. These include academics like graduate students and faculty, multidisciplinary professionals and researchers working on organization and management science, and consultants for various types of organizations and groups. 410 0$aComputational Social Sciences,$x2509-9574 606 $aComputer simulation 606 $aSocial sciences 606 $aBig data 606 $aData mining 606 $aIndustrial psychology 606 $aKnowledge management 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aMethodology of the Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X17000 606 $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aIndustrial and Organizational Psychology$3https://scigraph.springernature.com/ontologies/product-market-codes/Y20030 606 $aKnowledge Management$3https://scigraph.springernature.com/ontologies/product-market-codes/515030 615 0$aComputer simulation. 615 0$aSocial sciences. 615 0$aBig data. 615 0$aData mining. 615 0$aIndustrial psychology. 615 0$aKnowledge management. 615 14$aSimulation and Modeling. 615 24$aMethodology of the Social Sciences. 615 24$aBig Data/Analytics. 615 24$aData Mining and Knowledge Discovery. 615 24$aIndustrial and Organizational Psychology. 615 24$aKnowledge Management. 676 $a001.422 702 $aPilny$b Andrew$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPoole$b Marshall Scott$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254837803321 996 $aGROUP Processes$9506190 997 $aUNINA