Computational Social Science: Application in China Studies

Author:   Xiaogang Wu (NYU Shanghai, China) ,  Yongjun Zhang (Stony Brook University, USA) ,  Tianji Cai (University of Macau, China)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032696461


Pages:   182
Publication Date:   07 June 2024
Format:   Hardback
Availability:   In Print   Availability explained
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Computational Social Science: Application in China Studies


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Author:   Xiaogang Wu (NYU Shanghai, China) ,  Yongjun Zhang (Stony Brook University, USA) ,  Tianji Cai (University of Macau, China)
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.453kg
ISBN:  

9781032696461


ISBN 10:   103269646
Pages:   182
Publication Date:   07 June 2024
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Xiaogang Wu is Yufeng Global Professor of Social Science, Professor of Sociology at New York University and NYU Shanghai, and the Founding Director of Center for Applied Social and Economic Research (CASER) at NYU Shanghai, China. Wu is a leading scholar in research on Chinese inequality and social stratification. He has published over 70 articles in peer-reviewed journals, He has been serving as the Chief Editor of the Chinese Sociological Review since 2011, Associate Editor (Social Stratification) of Sociology Compass (2023-2025), and Global Scholar at Princeton University (2020-2024). Yongjun Zhang is Assistant Professor in the Department of Sociology and the Institute for Advanced Computational Science at Stony Brook University, USA. He uses big data with statistical, network, and computational methods to study political, social, and organizational behavior in the United States and across the globe. His current main projects include spatial segregation and mobility, political polarization, and global visual representation of social movements. His work has appeared in both interdisciplinary and sociological journals such as American Journal of Sociology, Demography, Scientific Reports, and Humanities and Social Sciences Communications. Tianji Cai is Professor of sociology in University of Macau, China. He received his PhD degree at University of North Carolina at Chapel Hill in 2010. His research interests concentrate on new forms of data and new methods of analysis. Reflecting on his broad intellectual pursuits, his research topics are diverse, ranging from methodological, such as quantitative methods and data mining, to substantive ones, such as gene-environmental interplay and adolescent health behaviours. He has published widely in leading international journals including American Sociological Review, American Journal of Sociology, Demography, Sociological Methodology, Sociological Methods & Research, Chinese Sociological Review.

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