"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"--
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.
Part I Introduction
1. Bringing Big Data to Quantitative Macrosociology
Part II Mapping Public Discourse and Ideological Stratification
2. Social
Stratification as a Public Discourse in China, 19492008
3. Public Concerns
about Class Immobility and Economic Inequality
4. Self-Perceived Social
Mobility and Class Solidification
5. Stratified Nostalgia for the Chinese
Revolutions Part III Portraying Social Transformations and Cultural Practices
6. The International Visibility of Chinese Cities in Modern Times
7. The
Cultural Determinant of Foreign Direct Investment
8. The Effect of Cultural
Familiarity on Inbound Tourism
9. Co-author Networks in Chinas Humanities
and Social Sciences PART IV Revealing Public Health and Community Wellness
10. Evaluating Effect of PM2.5 Exposure on Suicidal Ideation
11. Forecasting
Trends in Prevalence and Incidence of HIV/AIDS
12. Profiling the Vaping
Epidemic and Public Favorites on E-Cigarettes
13. Measuring Public Concerns
in LGBT Issues
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.
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