Welcome

I (name 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 work has 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 the 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 to assess the long-term impact of racial segregation. 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 is 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.

If you need CSS-related talks or workshops, please feel free to contact me directly.

Download Zhang’s Vita Here.

Click Here to See Data Visualization on Segregation for the AJS Article.

Upcoming Talks

Yongjun Zhang. Dec 2021. “Integrating Text, Image, and Video Data for Social Science Research.” Peking University.

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.

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.

New Paper Alert

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

Working Paper

Yongjun Zhang. 2021. “Using Population Mobility to Measure Racial Residential Segregation in the U.S. Metro Areas.”

Social Media