Computational Social Science in the Age of Big Data : Concepts, Methodologies, Tools, and Applications (Neue Schriften zur Online-Forschung 15) (2018. 460 S. 213 cm)

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Computational Social Science in the Age of Big Data : Concepts, Methodologies, Tools, and Applications (Neue Schriften zur Online-Forschung 15) (2018. 460 S. 213 cm)

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  • 製本 Paperback:紙装版/ペーパーバック版
  • 商品コード 9783869622675

Description


(Text)
The book Computational Social Science in the Age of Big Data highlights concepts, methodologies, tools, and applications of (automated) data-driven research in social science. The book focuses on the establishment of Computational Social Science (CSS) as an emerging field of research and application. International reputable authors represent the state-of-the-art in the field of CSS and cover several different aspects which are relevant for research and practice. The editors of the book accelerate the multidisciplinary access to the field of computational (social) science to facilitate a readable introduction for online researchers from academia and business.
(Table of content)
PrefaceCathleen M. Stuetzer / Martin Welker / Marc Egger 9Big Data Analytics: Obstacles and Opportunities for Social ScienceI. Epistemological PerspectivesBrenda L. Berkelaar / Luis Francisco-Revilla 16Motivation, Evidence, and Computation: A Research Framework for Expanding Computational Social Science Participation and DesignBiagio Aragona 63Beyond Data Driven Social Science: Researching Big Data AssemblagesJan R. Riebling 77The Medium Data Problem in Social ScienceII . Data, Methods, and InstrumentsJakob Jünger 104Mapping the Field of Automated Data Collection on the Web:Collection Approaches, Data Types, and Research LogicMareike Wieland / Anne-Marie In der Au / Christine Keller / Sören Brunk / Thomas Bettermann / Lutz M. Hagen / Thomas Schlegel 131Online Behavior Tracking in Social Sciences: Quality Criteria and Technical ImplementationElisabeth Günther / Damian Trilling / Bob van de Velde 161But How Do We Store It? (Big) Data Architecture in the Social-Scientific Research ProcessFionn Murtagh 188The Geometric Data Analysis and Correspondence Analysis Platform: New Potential and New Challenges, Including Ethics, of Big Data AnalyticsUlrik Brandes / Michael Hamann / Mark Ortmann / Dorothea Wagner 213On the Persistence of Strongly Embedded TiesYannis Skarpelos 235Big Visual Data in Social SciencesIII . Case StudiesJi-Ping Lin 268Human Relationships and Kinship Analytics from Big Data Based on Data Science: A Study on Ethnic Marriageand Identity Using Taiwan's Indigenous Peoples as an ExampleAlessandro Cimbelli / Cinzia Conti / Fiorenza Deriu 303The Use of Big Data in Studying Migration Routes: New Tools and ApplicationsTheoni Stathopoulou / Haris Papageorgiou / Konstantina Papanikolaou / Athanasia Kolovou 326Exploring the Dynamics of Protest with Automated Computational Tools. A Greek Case StudyJérémy Ducros / Elisa Grandi / Pierre-Cy rille Hautcoeur / Raphaël Hekimian / Emmanuel Prunaux / Angelo Riva /Stefano Ungaro 355Collecting and Storing Historical Financial Data: DFIH ProjectDaniel Richter / Michael Bartl 378Affective Computing Applied to a Recipe Recommendation SystemIV. Tutorial SectionRianne Conijn / Wouter Nij Bijvank / Chris Snijders / Ad Kleingeld / Uw e Matzat 396From Raw to Ready-made Data. A Hands-on Manual for Pre-processing Learning Management System Log Data for Learning AnalyticsYannick Rieder / Simon Kühne 423Geospatial Analysis of Social Media Data - A Practical Framework and Applications Using TwitterAuthors 447
(Author portrait)

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