Group processes : data-driven computational approaches /: data-driven computational approaches. ([2017])

• Record Type: Book
• Further Information: Note: Andrew Pilny, Marshall Scott Poole, editors.
• Editors: Pilny, Andrew; Poole, Marshall Scott, 1951-
• Contents: Chapter 1: Introduction; References; Chapter 2: Response Surface Models to€Analyze Nonlinear Group Phenomena; 2.1 Introduction to€Response Surface Methodology; 2.2 Brief Background of€RSM; 2.3 Basic Processes Underlying RSM; 2.3.1 Step 1: Second-Order Regression Modeling; 2.3.2 Step 2: Lack of€Fit; 2.3.3 Step 3: Coding of€Variables; 2.3.4 Step 4: Canonical Analysis of€the€Response System; 2.3.5 Step 5: Conduct Ridge Analysis if Needed; 2.4 RSM in€Context; 2.4.1 About the€Game; 2.5 Dependent Variable; 2.5.1 Team Performance; 2.6 Independent Variables; 2.6.1 Complexity. 2.6.2 Difficulty2.7 Control Variables; 2.7.1 Group Size; 2.8 Data Analysis; 2.8.1 Controlling for€Group Size; 2.8.2 Experience Points: A€Minimum Stationary Point; 2.9 Results; 2.9.1 Model for€Deaths: A€Saddle Point; 2.10 Conclusion; References; Chapter 3: Causal Inference Using Bayesian Networks; 3.1 Introduction; 3.2 Scenario; 3.2.1 Variables; 3.2.2 Data Preparation; 3.3 Description of€Weka Environment; 3.4 Running Bayesian Network Analysis in€Weka; 3.4.1 Analysis with€All Variables; 3.4.2 Understanding Weka Output; 3.4.3 Assessing Information Gain; 3.4.4 Re-run with€Selected Variables. 3.4.5 Probability Distribution3.4.6 Re-run with€Two Parent Nodes; 3.5 Conclusion; References; Chapter 4: A Relational Event Approach to€Modeling Behavioral Dynamics; 4.1 Representing Interaction: From€Social Networks to€Relational Events; 4.1.1 Prefatory Notes; 4.2 Overview of€the€Relational Event Framework; 4.3 Sample Cases; 4.3.1 Butts et€al.'s WTC Data; 4.3.2 McFarland's Classroom Data; 4.4 Tutorial; 4.4.1 Ordinal Time Event Histories; 4.4.2 A First Model: Exploring ICR Effects; 4.4.3 Bringing in€Endogenous Social Dynamics; 4.4.4 Assessing Model Adequacy; 4.5 Exact Time Histories. 4.5.1 Modeling with€Covariates4.5.2 Modeling Endogenous Social Dynamics; 4.5.3 Interpretation of€a€Fitted Model; 4.5.4 Assessing Model Adequacy; 4.6 Conclusion; References; Chapter 5: Text Mining Tutorial; 5.1 Introduction; 5.2 Overview of€Text Mining; 5.3 Text Mining Tutorial; 5.3.1 Data Collection; 5.3.2 Data Preparation; 5.3.3 Preprocessing; 5.3.4 Data Analysis; 5.3.5 Interpretation; 5.4 Contributions; References; Chapter 6: Sequential Synchronization Analysis; 6.1 Introduction; 6.2 Sequence Analysis; 6.2.1 Sequence Data; 6.2.2 Analyzing Sequences; 6.2.2.1 Whole Sequence Analysis. 6.2.2.2 Subsequence Analysis6.3 Sequential Synchronization Analysis; 6.3.1 Individual Sequences into Group Processes; 6.3.2 Entrainment; 6.4 A Step-by-Step Guide to€Sequential Synchronization Analysis; 6.4.1 Step 1: Theoretically Define the€Units of€Interest; 6.4.2 Step 2: Extract Subsequences from€Data; 6.4.3 Step 3: Revisit Theoretically Defined Subsequences in€Light of€Sequence Mining Results; 6.4.4 Step 4: Aggregate Frequency Counts of€Subsequences for€Data Segments; 6.4.5 Step 5: Compute Synchronization Scores; 6.5 Example; 6.6 Discussion; References.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2017
• Copyright Date: 2017
• Extent: 1 online resource, illustrations
• Subjects: 300.1/5195; 004; Computer science; Social sciences -- Statistical methods -- Data processing; SOCIAL SCIENCE -- Essays; SOCIAL SCIENCE -- Reference; Social sciences -- Statistical methods -- Data processing; Computer Science; Simulation and Modeling; Methodology of the Social Sciences; Big Data/Analytics; Data Mining and Knowledge Discovery; Industrial and Organizational Psychology; Knowledge Management; Social Science -- Methodology; Business & Economics -- Industries -- Computer Industry; Computers -- Database Management -- Data Mining; Psychology -- Industrial & Organizational Psychology; Business & Economics -- Information Management; Social research & statistics; Business mathematics & systems; Data mining; Occupational & industrial psychology; Knowledge management; Computer simulation; Social sciences -- Methodology; Big data; Data mining; Applied psychology; Knowledge management; Computers -- Computer Simulation; Computer modelling & simulation; Electronic books; Electronic book
• Languages: English
• ISBNs: 9783319489414; 3319489410
• Related ISBNs: 9783319489407; 3319489402
• Notes: Note: Includes bibliographical references.; Note: Vendor-supplied metadata.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.