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, traditional statistical methods and social stratification. I have done methodological work on network sampling and missing data, as well as more substantive work on network processes like homophily and status. 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 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.
My research explores methodological and substantive problems related to networks, individuals, and the broader social context. Methodologically, my work centers on a core problem in network studies: how can network structure be measured when there is incomplete information, either because there is missing data or because the data itself come from a sample. The larger agenda is to make it easier to specify and test theories based on a network view of the social world—where the complex interdependencies between actors are explicitly mapped, even with limited data. For example, I am currently working on a project that uses sampled network data to make inference aboutdiffusion processes. Substantively, my work pushes a contextual approach to studying social networks. The key question is how network features, like hierarchy, cohesion or group structure, vary across contexts, such as schools or neighborhoods. The larger goal is to analyze contexts, networks and individuals holistically: where contextual features, like demographic composition and economic inequality, shape network features, which, in turn, shape outcomes at the individual-level, like deviance or health.
I am always looking for students to act as collaborators on projects related to networks, methods and social inequality. For example, I am currently collaborating with one graduate student (Sela Harcey) on a project that explores the effect of racial/ethnic classification on measures of stratification. We are also working on a project (with Robin Gauthier) on the relationship between isolation, cohesion and adolescent outcomes.
I have taught a number of different courses at UNL, many of them core methods courses: Introduction to Social Research II (an introductory, undergraduate statistics course); Advanced Regression Analysis (a graduate level course covering categorical models); Social Networks: Theory, Methods and Applications (a graduate level course in networks); History of Social Theory (a graduate theory course) and Social Inequality (an undergraduate course on inequality). These courses include a diverse set of students, ranging from undergraduates only (Introduction to Social Research II), to a mix of undergraduate and graduate students (Social Inequality), to graduate only (History of Social Theory). The courses I have taught are also quite diverse in terms of material: from very technical classes to very theoretical classes to substantive courses to a mixture.
Substantive Network Papers
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., James Moody and Jonathan H. Morgan. 2017. "Network Sampling Coverage II: The Effect of Non-Random Missing Data on Network Measurement." Social Networks 48:78-99. doi: http://dx.doi.org/10.1016/j.socnet.2016.04.005.
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