Understanding China through Big Data: Applications of Theory-oriented Quantitative Approaches (Routledge Advances in Sociology) 1st Edition

Chen, Yunsong; He, Guangye; Yan, Fei

ISBN 10: 0367758261 / ISBN 13: 9780367758264

Published by Routledge, 2021

About this Item

Seller Inventory # 18384665030

Bibliographic Details

• Title: Understanding China through Big Data: Applications of Theory-oriented Quantitative Approaches (Routledge Advances in Sociology) 1st Edition
• Publisher: Routledge
• Publication Date: 2021
• Language: English
• ISBN 10: 0367758261
• ISBN 13: 9780367758264
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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 social change in China, especially where traditional approaches are limited by constrained and biased data.

In each chapter of the book, the authors highlight an application of theory-guided macrosociology that has the potential to reinvigorate an ambitious, open-minded and bold approach to sociological research. These include social stratification, social networks, medical care, and online behaviours among many others. This research approach focuses on macro-level social process and phenomena by using quantitative models to statistically test for associations and causalities suggested by a clearly hypothesised social theory. By deploying theory-oriented macrosociology where it can best assure macro-level robustness and reliability, big data applications can be more relevant to and guided by social theory.

An essential read for sociologists with an interest in quantitative and macro-scale research methods, which also provides fascinating insights into Chinese society as a demonstration of the utility of its methodology.

About the Author

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.