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OverviewFull Product DetailsAuthor: Uwe Engel , Anabel Quan-Haase , Sunny Liu , Lars LybergPublisher: Taylor & Francis Ltd Imprint: Routledge Weight: 0.948kg ISBN: 9780367457808ISBN 10: 0367457806 Pages: 412 Publication Date: 05 November 2021 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPreface Introduction to the Handbook of Computational Social Science Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu and Lars Lyberg Section I. Data in CSS: Collection, Management, and Cleaning A Brief History of APIs: Limitations and Opportunities for Online Research Jakob Jünger Application Programming Interfaces and Web Data For Social Research Dominic Nyhuis Web Data Mining: Collecting Textual Data from Web Pages Using R Stefan Bosse, Lena Dahlhaus and Uwe Engel Analyzing Data Streams for Social Scientists Lianne Ippel, Maurits Kaptein and Jeroen Vermunt Handling Missing Data in Large Data Bases Martin Spiess and Thomas Augustin A Primer on Probabilistic Record Linkage Ted Enamorado Reproducibility and Principled Data Processing John McLevey, Pierson Browne and Tyler Crick Section II. Data Quality in CSS Research Applying a Total Error Framework for Digital Traces to Social Media Research Indira Sen, Fabian Flöck, Katrin Weller, Bernd Weiß and Claudia Wagner Crowdsourcing in Observational and Experimental Research Camilla Zallot, Gabriele Paolacci, Jesse Chandler and Itay Sisso Inference from Probability and Nonprobability Samples Rebecca Andridge and Richard Valliant Challenges of Online Non-Probability Surveys Jelke Bethlehem Section III. Statistical Modelling and Simulation Large-scale Agent-based Simulation and Crowd Sensing with Mobile Agents Stefan Bosse Agent-based Modelling for Cultural Networks: Tagging by Artificial Intelligent Cultural Agents Fernando Sancho-Caparrini and Juan Luis Suárez Using Subgroup Discovery and Latent Growth Curve Modeling to Identify Unusual Developmental Trajectories Axel Mayer, Christoph Kiefer, Benedikt Langenberg and Florian Lemmerich Disaggregation via Gaussian Regression for Robust Analysis of Heterogeneous Data Nazanin Alipourfard, Keith Burghardt and Kristina Lerman Section IV: Machine Learning Methods Machine Learning Methods for Computational Social Science Richard D. De Veaux and Adam Eck Principal Component Analysis Andreas Pöge and Jost Reinecke Unsupervised Methods: Clustering Methods Johann Bacher, Andreas Pöge and Knut Wenzig Text Mining and Topic Modeling Raphael H. Heiberger and Sebastian Munoz-Najar Galvez From Frequency Counts to Contextualized Word Embeddings: The Saussurean Turn in Automatic Content Analysis Gregor Wiedemann and Cornelia Fedtke Automated Video Analysis for Social Science Research Dominic Nyhuis, Tobias Ringwald, Oliver Rittmann, Thomas Gschwend and Rainer StiefelhagenReviewsAuthor InformationUwe Engel is Professor at the University of Bremen, Germany, where he held a chair in sociology from 2000 to 2020. From 2008 to 2013, Dr. Engel coordinated the Priority Programme on “Survey Methodology” of the German Research Foundation. His current research focuses on data science, human-robot interaction, and opinion dynamics. Anabel Quan-Haase is Professor of Sociology and Information and Media Studies at Western University and Director of the SocioDigital Media Lab, London, Canada. Her research interests include social media, social networks, life course, social capital, computational social science, and digital inequality/inclusion. Sunny Xun Liu is a research scientist at Stanford Social Media Lab, USA. Her research focuses on the social and psychological effects of social media and AI, social media and well-being, and how the design of social robots impact psychological perceptions. Lars Lyberg was Head of the Research and Development Department at Statistics Sweden and Professor at Stockholm University. He was an elected member of the International Statistical Institute. In 2018, he received the AAPOR Award for Exceptionally Distinguished Achievement. Tab Content 6Author Website:Countries AvailableAll regions |
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