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  • 1
    UID:
    gbv_1779637799
    Format: 1 Online-Ressource (xxii, 411 Seiten) , Diagramme
    ISBN: 9781003025245
    Series Statement: EAM book series / European Association of Methodology
    In: Volume 2
    Additional Edition: ISBN 9780367457808
    Additional Edition: ISBN 9781032077703
    Additional Edition: Erscheint auch als Druck-Ausgabe Handbook of computational social science ; Volume 2: Data science, statistical modelling, and machine learning methods London : Routledge, Taylor & Francis Group, 2022 ISBN 9781032077703
    Additional Edition: ISBN 9780367457808
    Language: English
    Author information: Engel, Uwe 1954-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_1779637462
    Additional Edition: Erscheint auch als Druck-Ausgabe Handbook of computational social science London : Routledge, Taylor & Francis Group, 2022 ISBN 9781032111438
    Language: English
    Author information: Engel, Uwe 1954-
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    gbv_1816342408
    Format: 1 Online-Ressource (xxii, 411 Seiten) , Diagramme
    ISBN: 9781003025245
    Series Statement: EAM book series / European Association of Methodology
    Additional Edition: ISBN 9781032077703
    Additional Edition: ISBN 9780367457808
    Additional Edition: Erscheint auch als Druck-Ausgabe Handbook of computational social science ; Volume 2: Data science, statistical modelling, and machine learning methods London : Routledge, Taylor & Francis Group, 2022 ISBN 9781032077703
    Additional Edition: ISBN 9780367457808
    Language: English
    Subjects: Sociology
    RVK:
    Author information: Engel, Uwe 1954-
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    gbv_1794584056
    Format: 1 Online-Ressource
    ISBN: 9780367456535 , 9780367456528 , 9781003024583
    Content: "The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors."
    Note: English
    Language: English
    Keywords: Sozialwissenschaften ; Forschungsmethode ; Computational social science
    Author information: Engel, Uwe 1954-
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    almahu_9949385545302882
    Format: 1 online resource (xxii, 388 pages)
    ISBN: 9781003024583 , 1003024580 , 1000448614 , 9781000448580 , 1000448584 , 9781000448610
    Series Statement: European Association of Methodology Series
    Content: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors.
    Note: PrefaceIntroduction to the Handbook of Computational Social ScienceUwe Engel, Anabel Quan-Haase, Sunny Xun Liu and Lars LybergSection I. The Scope and Boundaries of CSSThe Scope of Computational Social ScienceClaudio Cioffi-RevillaAnalytical Sociology amidst a Computational Social Science RevolutionBenjamin F. Jarvis, Marc Keuschnigg and Peter Hedstr©œmComputational Cognitive Modeling in the Social SciencesHolger SchultheisComputational Communication Science: Lessons from Working Group Sessions with Experts of an Emerging Research FieldStephanie Geise and Annie WaldherrA Changing Survey LandscapeLars Lyberg and Steven G. HeeringaDigital Trace Data: Modes of Data Collection, Applications, and Errors at a GlanceFlorian Keusch and Frauke KreuterOpen Computational Social ScienceJan G. Voelkel and Jeremy FreeseCausal and Predictive Modeling in Computational Social ScienceUwe EngelData-driven Agent-based Modeling in Computational Social ScienceJan LorenzSection II. Privacy, Ethics, and Politics in CSS ResearchEthics and Privacy in Computational Social Science: A Call for PedagogyWilliam Hollingshead, Anabel Quan-Haase and Wenhong ChenDeliberating with the Public: An Agenda to Include Stakeholder Input on Municipal "Big Data" ProjectsJames Popham, Jennifer Lavoie, Andrea Corradi and Nicole CoomberAnalysis of the Principled-AI Framework℗þs Constraints in Becoming a Methodological Reference for Trustworthy-AI DesignDaniel Varona and Juan Luis SuarezSection III. Case Studies and Research ExamplesSensing Close-Range Proximity for Studying Face-to-Face InteractionJohann Schaible, Marcos Oliveira, Maria Zens and Mathieu G©♭noisSocial Media Data in Affective ScienceMax Pellert, Simon Schweighofer and David GarciaUnderstanding Political Sentiment: Using Twitter to Map the US 2016 Democratic PrimariesNiklas M Loynes and Mark J ElliotThe Social Influence of Bots and Trolls in Social MediaYimin ChenSocial Bots and Social Media Manipulation in 2020: The Year in ReviewHo-Chun Herbert Chang, Emily Chen, Meiqing Zhang, Goran Muric, and Emilio FerraraA Picture is (still) Worth a Thousand Words: The Impact of Appearance and Characteristic Narratives on People⁰́₉s Perceptions of Social RobotsSunny Liu, Elizabeth Arredondo, Hannah Miezkowski, Jeff Hancock and Byron ReevesData Quality and Privacy Concerns in Digital Trace Data: Insights from a Delphi Study on Machine Learning and Robots in Human LifeUwe Engel and Lena DahlhausEffective Fight Against Extremist Discourse On-Line: The Case of ISIS⁰́₉s PropagandaS©♭raphin Alava and Rasha NagemPublic Opinion Formation on the Far RightMichael Adelmund and Uwe Engel
    Additional Edition: Print version: ISBN 9780367456535
    Language: English
    Keywords: Electronic books.
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  • 6
    UID:
    almafu_BV047646241
    Series Statement: European Association of Methodology book series
    Language: English
    Subjects: Sociology
    RVK:
    Keywords: Sozialwissenschaften ; Forschungsmethode ; Computational social science
    Author information: Engel, Uwe 1954-
    Library Location Call Number Volume/Issue/Year Availability
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