Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines, outlining key debates, novel statistical modeling, and machine learning methods, and drawing from specific case studies to demonstrate opportunities and challenges in CSS approaches. It is divided into two volumes written by outstanding scholars, focusing on foundations and advances in data science, statistical modeling, and machine learning, including big data management, machine learning, agent-based and statistical modeling, and data quality.

\n Format: Paperback / softback
\n Length: 412 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 reference for scholars across various disciplines. It serves as a vital guide, outlining key debates and presenting innovative statistical modeling and machine learning techniques. By drawing from diverse case studies, the Handbook showcases the potential and complexities of computational social science (CSS) approaches.

Divided into two volumes, written by esteemed scholars from around the world, this second volume specifically delves into foundations and advancements in data science, statistical modeling, and machine learning. It addresses a wide range of critical topics, such as managing large datasets, including record linkage, streaming, and handling missing data. Machine learning, agent-based modeling, statistical modeling, and data quality in relation to digital trace and textual data are explored in depth. Probability, non-probability, and crowdsourced samples are also considered as key foci.

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

By providing a comprehensive and up-to-date overview of CSS, this handbook equips scholars with the tools and knowledge necessary to navigate the complex landscape of this field and make meaningful contributions to their respective disciplines.

\n Weight: 838g\n
Dimension: 173 x 244 x 27 (mm)\n
ISBN-13: 9781032077703\n \n