Handbook of Computational Social Science, Volume 2 (PDF)
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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.
Anabel Quan-Haase is Professor of Sociology and Information and Media Studies at Western University and Director of the SocioDigital Media Lab, London, Canada. Her research interests include social media, social networks, life course, social capital, computational social science, and digital inequality/inclusion.
Sunny Xun Liu is a research scientist at Stanford Social Media Lab, USA. Her research focuses on the social and psychological effects of social media and AI, social media and well-being, and how the design of social robots impact psychological perceptions.
Lars Lyberg was Head of the Research and Development Department at Statistics Sweden and Professor at Stockholm University. He was an elected member of the International Statistical Institute. In 2018, he received the AAPOR Award for Exceptionally Distinguished Achievement.
- 2021, 1. Auflage, 434 Seiten, Englisch
- Herausgegeben: Uwe Engel, Anabel Quan-Haase, Sunny Liu, Lars Lyberg
- Verlag: Taylor & Francis
- ISBN-10: 1000448592
- ISBN-13: 9781000448597
- Erscheinungsdatum: 10.11.2021
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- Dateiformat: PDF
- Größe: 11 MB
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