Handbook of computational social science : theory, case studies and ethics

To chci

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. -- Provided by publisher. … celý popis

Podrobná bibliografie

Další autoři:

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

Typ dokumentu:

Knihy

Rozsah:

xxi, 393 stran :

Vydáno:

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

Vydání:

1st published 2022

Edice:

European association of methodology

Témata:

vědecká metodologie

společenské vědy

kvantitativní metody

výpočetní metody

statistické odhady

statistické vzorkování

informační etika

scientific methodology

social sciences

quantitative methods

computational methods

statistical estimations

statistical sampling

information ethics

příručky

Fyzický popis:

xxi, 393 stran : ilustrace, grafy ; 25 cm.

Bibliografie:

Obsahuje bibliografie a rejstřík

ISBN:

978-0-367-45652-8
978-0-367-45653-5