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Peng Huang is an Assistant Professor of Sociology at the <a href="http://sociology.uga.edu" target="_blank" rel="noopener noreferrer">University of Georgia</a>. He received his PhD in Sociology and an MS in Statistics from the <a href="http://www.sociology.uci.edu" target="_blank" rel="noopener noreferrer">University of California, Irvine</a>, trained in the <a href="http://ncasd.org" target="_blank" rel="noopener noreferrer">Networks, Computation, and Social Dynamcis Lab</a>. He also holds BAs in Sociology and Economics from <a href="http://english.pku.edu.cn" target="_blank" rel="noopener noreferrer">Peking University</a>.<br />

Huang's research focuses on social networks and population dynamics, adopting a relational and structural approach to explore social processes and people's experiences therein. His primary project examines how network dynamics and geopolitical contexts shape migration patterns. He studies the social and political cleavages contributing to the <a href="https://doi.org/10.1177/00031224231212679" target="_blank" rel="noopener noreferrer">population immobility</a> in the United States. Another paper he wrote critically engages with the phenomenon known as the "<a href="https://doi.org/10.1080/0022250X.2023.2284431" target="_blank" rel="noopener noreferrer">California Exodus</a>." Huang's secondary research trajectory investigates the spatial distribution of social relations. This line of inquiry offers insights into the <a href="https://doi.org/10.1073/pnas.2011656117" target="_blank" rel="noopener noreferrer" rel="noopener noreferrer">diffusion of infectious diseases</a>, including COVID-19, and the related <a href="https://doi.org/10.1073/pnas.2121675119" target="_blank" rel="noopener noreferrer">health disparity issues</a>. <br />
Huang's research focuses on social networks and population dynamics, adopting a relational and structural approach to explore social processes and people's experiences therein. His first line of research examines how network dynamics and geopolitical contexts shape migration patterns. He studies the social and political cleavages contributing to the <a href="https://doi.org/10.1177/00031224231212679" target="_blank" rel="noopener noreferrer">population immobility</a> in the United States. Another paper critically engages with the phenomenon known as the "<a href="https://doi.org/10.1080/0022250X.2023.2284431" target="_blank" rel="noopener noreferrer">California Exodus</a>." Huang's another research program investigates the spatial distribution of social relations. This line of inquiry offers insights into the <a href="https://doi.org/10.1073/pnas.2011656117" target="_blank" rel="noopener noreferrer" rel="noopener noreferrer">diffusion of infectious diseases</a>, including COVID-19, and the related <a href="https://doi.org/10.1073/pnas.2121675119" target="_blank" rel="noopener noreferrer">health disparity issues</a>. <br />

Huang's methodological work concentrates on developing statistical and computational methods to model network and population structures, dynamically and at a large scale. He studies computational methods that model valued/weighted networks, especially for large networks with high edge variance, under the framework of <a href="https://doi.org/10.1016/j.socnet.2023.07.001" target="_blank" rel="noopener noreferrer">exponential-family random graph models (ERGMs)</a>. Alongside collaborators, he also develops imputation methods and algorithms for cross-tabulation data, which can be applied to infer distributions of multiple demographic characteristics in <a href="https://doi.org/10.1177/00811750231203218" target="_blank" rel="noopener noreferrer">small areal units</a>.<br />

Recognized by a dissertation award and best paper awards in sociology and social network analysis, Huang's research articles have appeared in <em><a href="https://doi.org/10.1177/00031224231212679" target="_blank" rel="noopener noreferrer">American Sociological Review</a></em>, <em><a href="https://doi.org/10.1080/0022250X.2023.2284431" target="_blank" rel="noopener noreferrer">Journal of Mathematical Sociology</a></em>, <em><a href="https://doi.org/10.1073/pnas.2011656117" target="_blank" rel="noopener noreferrer" rel="noopener noreferrer">Proceedings of the National Academy of Sciences</a> <a href="https://doi.org/10.1073/pnas.2121675119" target="_blank" rel="noopener noreferrer">(PNAS)</a></em>, <a href="https://doi.org/10.1016/j.socnet.2023.07.001" target="_blank" rel="noopener noreferrer"><em>Social Networks</em></a>, and <a href="https://doi.org/10.1177/00811750231203218" target="_blank" rel="noopener noreferrer"><em>Sociological Methodology</em></a>.
Huang is a recipient of the Geoffrey Tootell Dissertation Award from the Mathematical Sociology Section of the American Sociological Association, and the Best Student Paper Award from the International Network for Social Network Analysis (INSNA). His research articles have appeared in <em><a href="https://doi.org/10.1177/00031224231212679" target="_blank" rel="noopener noreferrer">American Sociological Review</a></em>, <em><a href="https://doi.org/10.1080/0022250X.2023.2284431" target="_blank" rel="noopener noreferrer">Journal of Mathematical Sociology</a></em>, <em><a href="https://doi.org/10.1073/pnas.2011656117" target="_blank" rel="noopener noreferrer" rel="noopener noreferrer">Proceedings of the National Academy of Sciences</a> <a href="https://doi.org/10.1073/pnas.2121675119" target="_blank" rel="noopener noreferrer">(PNAS)</a></em>, <a href="https://doi.org/10.1016/j.socnet.2023.07.001" target="_blank" rel="noopener noreferrer"><em>Social Networks</em></a>, and <a href="https://doi.org/10.1177/00811750231203218" target="_blank" rel="noopener noreferrer"><em>Sociological Methodology</em></a>.

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a dissertation award and paper awards from the American Sociological Association and the International Network of Social Network Analysis
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