Handbook of Computational Social Science, Volume 1: Theory, Case Studies and Ethics

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines, outlining key debates, showcasing novel statistical modeling and machine learning methods, and drawing from specific case studies to demonstrate the opportunities and challenges in CSS approaches. It is divided into two volumes written by outstanding, internationally renowned scholars and covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences.

\n Format: Paperback / softback
\n Length: 394 pages
\n Publication date: 17 November 2021
\n Publisher: Taylor & Francis Ltd
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The Handbook of Computational Social Science is a comprehensive and indispensable resource for scholars across various disciplines. It serves as a comprehensive reference source, outlining key debates and presenting innovative statistical modeling and machine learning methods. This handbook is divided into two volumes, authored by esteemed scholars from around the world.

The first volume focuses on the scope of computational social science, ethics, and case studies. It delves into a range of critical topics, including open science, formal modeling, and the social and behavioral sciences. Within this volume, readers will explore major debates, examine digital trace data, analyze the evolving survey landscape, and discover novel examples of computational social science research in areas such as sensing social interaction, social robots, bots, sentiment analysis, manipulation, and extremism in social media.

Not only does this volume make significant contributions to the consolidation of this rapidly growing research field, but it also fosters the growth of new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, the Handbook of Computational Social Science is an essential reading for advanced undergraduates, postgraduates, and researchers engaged with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

By providing a comprehensive and up-to-date overview of computational social science, this handbook equips scholars with the tools and knowledge necessary to navigate the complex landscape of this field and contribute to its ongoing development.

\n Weight: 814g\n
Dimension: 173 x 244 x 23 (mm)\n
ISBN-13: 9780367456528\n \n