Understanding China through Big Data

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.

• 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, 1949–2008 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 China’s 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

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