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 …