Quantitative, Qualitative, Comparative, and Historical Methodologies Commons^™

Structural Effects Of Network Sampling Coverage I: Nodes Missing At Random, Jeffrey A. Smith, James Moody

Department of Sociology: Faculty Publications

Network measures assume a census of a well-bounded population. This level of coverage is rarely achieved in practice, however, and we have only limited information on the robustness of network measures to incomplete coverage. This paper examines the effect of node-level missingness on 4 classes of network measures: centrality, centralization, topology and homophily across a diverse sample of 12 empirical networks. We use a Monte Carlo simulation process to generate data with known levels of missingness and compare the resulting network scores to their known starting values. As with past studies (Borgatti et al., 2006; Kossinets, 2006), we find that …

Nasis 2013: Nebraska Annual Social Indicators Survey Questionnaire, Bureau Of Sociological Research

Nebraska Annual Social Indicators Survey (NASIS)

We need your help to learn about how Nebraskans think, feel, and live. Researchers from the University of Nebraska and across the state are counting on your help to learn about a variety of issues. Your responses will help shape program and policy development in Nebraska now and into the future.

1. Overall, how satisfied or dissatisfied are you with living in Nebraska? ...

85 questions; 12 pages