Jeffrey A. Smith
I joined the faculty at UNL in 2013, shortly after receiving my Ph.D. from Duke University. My work falls at the intersection of network analysis, substantive social stratification research and traditional statistical methods. Much of my work is focused on developing new models and frameworks for studying stratification. My work has been published in the American Sociological Review, Sociological Methodology, Social Networks, Social Science & Medicine, as well as other venues.You can find detailed information on my publications (including links to the actual papers) on my website, as well as from my Google Scholars page. My website also includes information about the courses I have taught, including all of the materials from a recent seminar on network analysis.
Current Research and Student Opportunities
My research explores large-scale social inequalities by addressing three core questions. In what ways can we use social network data to study systems of stratification? What are the limitations and promises of network data? And what unique questions can we address using network data that we would be otherwise unable to answer? For example, I am currently working on a series of projects on social boundaries. My work on social boundaries began with an interest in homophily, or the idea that birds of a feather flock together. It is a pervasive social fact that people who are similar are more likely to know each other than people who are dissimilar. I take data on social relationships, such as marriage or friendship rates, and use it to measure the social boundaries in a population. I am currently using this approach to explore the changing meaning of education and race/ethnicity in contemporary U.S. society. Methodologically, I am working on a number of projects on network sampling and simulation. For example, I am working on a project to make comparative network analysis more feasible. The goal is to make inference about the social cohesion of different schools, organizations or neighborhoods using sampled network data (rather than a full census, which is typically required) and simulation techniques. I am also working on a related project using sampled network data to make inference about different diffusion processes. Feel free to contact me with any questions or to discuss possible research opportunities.
Social Boundaries and Social Status
Smith, Jeffrey A. and Robert Faris. 2015. "Movement without mobility: Adolescent status hierarchies and the contextual limits of cumulative advantage." Social Networks 40:139-153
Smith Jeffrey A., McPherson, Miller, and Lynn Smith-Lovin. 2014. “Social Distance in the United States: Sex, Race, Religion, Age, and Education Homophily among Confidants, 1985 to 2004.” American Sociological Review 79:432-456.
McFarland, Daniel A., James Moody, David Diehl, Jeffrey A. Smith, and Reuben J. Thomas. 2014. "Network Ecology and Adolescent Social Structure." American Sociological Review 79:1088-1121.
Smith, Jeffrey A. 2015. "Global Network Inference from Ego Network Samples: Testing a Simulation Approach." The Journal of Mathematical Sociology 39:125-162
Merli, M. Giovanna, James Moody, Jeffrey Smith, Jing Li, Sharon Weir, and Xiangsheng Chen. 2015. "Challenges to recruiting population representative samples of female sex workers in China using Respondent Driven Sampling." Social Science & Medicine 125:79-93
Smith, Jeffrey A. 2012. “Macrostructure from Microstructure: Generating Whole Systems from Ego Networks.” Sociological Methodology 42:155-205