Understanding China through Big Data (PDF)
Applications of Theory-oriented Quantitative Approaches
(Sprache: Englisch)
Chen, He and Yan present a range of applications of multiple-source big data to core areas of contemporary sociology, demonstrating how a theory-guided approach to macrosociology can help to understand a society, especially where traditional approaches are...
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Chen, He and Yan present a range of applications of multiple-source big data to core areas of contemporary sociology, demonstrating how a theory-guided approach to macrosociology can help to understand a society, especially where traditional approaches are limited by constrained and biased data.
Autoren-Porträt von Yunsong Chen, Guangye He, Fei Yan
Yunsong Chen is Professor of Sociology at Nanjing University. He earned a DPhil in sociology from University of Oxford, Nuffield College. His main research interest lies in advanced quantitative methodology in sociology, social capital, and big data in social science. He has published in Social Networks, British Journal of Sociology, Social Science Research, The Sociological Review, Poetics, Journal of Contemporary China and leading Chinese journals.Guangye He is Associate Professor at Nanjing University, Department of Sociology. Her research focuses on family sociology, social stratification, and quantitative methodology in sociology. She has published in Social Science Research, Chinese Sociological Review, China Review, and Journal of Contemporary China.
Fei Yan is Associate Professor of Sociology at Tsinghua University. He received his Ph.D. in sociology from University of Oxford and completed a postdoc from Stanford University. His research focuses on political sociology, historical sociology, and sociology of development. His work has appeared in Social Science Research, The Sociological Review, Social Movement Studies, Poetics, Urban Studies, and Oxford Bibliographies in Sociology.
Bibliographische Angaben
- Autoren: Yunsong Chen , Guangye He , Fei Yan
- 2021, 1. Auflage, 272 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000412342
- ISBN-13: 9781000412345
- Erscheinungsdatum: 14.07.2021
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- Größe: 9.23 MB
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Sprache:
Englisch
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