I (Chinese: 张勇军audio) am a computational social scientist studying politics, organizations, social movements, and inequality. I received my Sociology PhD in 2020 from the University of Arizona. I am currently working as an Assistant Professor of Sociology and Institute for Advanced Computational Science at Stony Brook University. I am also a research affiliate at New York University.
I combine statistical, network, and computational methods with large-scale datasets to study social, political, and organizational behavior. My past work focuses on the interplay between social movements and social or political changes in the U.S. and the globe. These studies have been published in Journal of Marriage and Family, Demography, Poetics, International Journal of Comparative Sociology, American Journal of Sociology, and PLoS One. I have won the 2020 James Coleman Award from Sociology of Education Section at American Sociological Association and the 2021 SIM Best Paper Submission at Academy of Management.
My ongoing work focuses mainly on understanding mobility, segregation, and polarization in the U.S. I am using big data from FEC with corp data to track the polarization/partisanship trend in corporate elites. I am using population mobility data from SafeGraph and Facebook as well as 190 million voter records and 260 million consumer records to assess the antecedents and consequences of racial/partisan/income/cultural segregation. This human mobility, segregation, and polarization project has been funded by an OVPR seed grant at Stony Brook University. I am also using deep learning methods to detect and monitor anti-AAPI hate speech and incidents (a direct result of polarization and xenophobia) from Twitter since the COVID-19 outbreak. This project has been funded by a seed grant from IACS at Stony Brook University.
I am teaching Intro to Computational Social Science and Research Methods in Sociology at Stony Brook University. I am also guest-editing a special issue on computational social science and Chinese societies for Chinese Sociological Review.
If you need CSS-related talks or workshops, please feel free to contact me directly.
Call for Papers
I am co-editing an anual series on cohabitation and the evolving nature of intimate and family relationships with Dr. Sampson Blair for Contemporary Perspectives in Family Research. The deadline for initial submissions is September 30, 2022. Please click here for more details.
Frontiers Conversations on Digital Society
I am co-hosting a Brownbag series with Professor Zeqi Qiu at Peking University focusing on digital society and its impact on our world. Our first speaker is Professor Chris Bail.
April 6, 2022, Conversation with Professor Chris Bail at Duke University, Director of Polarization Lab. Click here for more info.
New Paper Alert
Hao Lin, Pradeep Nalluri, Lantian Li, Yifan Sun, and Yongjun Zhang. 2022. “Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining.” 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis.
Yongjun Zhang, Sienna Thorgusen, and Xinguang Fan. 2022. “News Coverage of Social Protests in Global Society.” International Journal of Comparative Sociology.
Yongjun Zhang. 2021. “Corporate Responses to COVID19: A Non-Market Strategy Approach.” Sociological Perspectivies.
Seguin, Charles, Chris Julien, and Yongjun Zhang. 2021. “The stability of androgynous names: Dynamics of gendered naming practices in the United States 1880–2016.” Poetics
Yongjun Zhang. 2021. “Using Population Mobility to Measure Racial Residential Segregation in the U.S. Metro Areas.”
Yongjun Zhang and Jennifer Heerwig. 2022. “Gender, Race, and Intersectionality in the Political Donations of America’s Corporate Elite”.
Yongjun Zhang. March 2022. “Gender, Race, and Intersectionality in the Political Donations of America’s Corporate Elite”. European University Institute. with Dr. Jennifer Heerwig.
Yongjun Zhang. Dec 2021. “Computational Social Science: Its Recent Development, Opportunities, and Challenges.” Peking University [Poster].
Yongjun Zhang. Oct 2021. “Residential Segregation in U.S. Metro Areas: Using Facebook and Safegraph Data to Assess Racial Segregation.” Department of Sociology, SUNY Buffalo [Poster].
Yongjun Zhang. Oct 2021. “Using Population Mobility Data to Measure Racial Segregation in the U.S.” IACS, Stony Brook University.
Yongjun Zhang. Sept 24, 2021. “Using Relational Data from Facebook and SafeGraph to Measure Racial Segregation.” Department of Physchology, Stony Brook University.