Handbook of computational social science : data science, statistical modelling, and machine learning methods

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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 second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. 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. -- Provided by publisher. … full description

Bibliographic Details

Other Authors:

Uwe Engel, 1954- , Anabel Quan-Haase , Sunny Xun Liu, Lars Lyberg

Document Type:

Books

Document range:

xxii, 411 stran :

Published:

Abingdon, Oxon ; New York, NY : Routledge, 2022.

Edition:

1st published 2022

Series:

European association of methodology

Subjects:

vědecká metodologie

společenské vědy

výpočetní metody

statistické odhady

statistické vzorkování

statistické modely

scientific methodology

social sciences

quantitative methods

computational methods

statistical estimations

statistical sampling

statistical models

kvantitativní metody

příručky

Physical Description:

xxii, 411 stran : ilustrace, grafy ; 25 cm.

Bibliography:

Obsahuje bibliografie a rejstřík

ISBN:

978-0-367-45780-8
978-1-032-07770-3