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University of Nebraska - Lincoln

Network sampling

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Full-Text Articles in Demography, Population, and Ecology

Using Ego Network Data To Inform Agent-Based Models Of Diffusion, Jeffrey A. Smith, Jessica Burow Apr 2018

Using Ego Network Data To Inform Agent-Based Models Of Diffusion, Jeffrey A. Smith, Jessica Burow

Department of Sociology: Faculty Publications

Agent-based modeling holds great potential as an analytical tool. Agent-based models (ABMs) are, however, also vulnerable to critique, as they often employ stylized social worlds, with little connection to the actual environment in question. Given these concerns, there has been a recent call to more fully incorporate empirical data into ABMs. This article falls in this tradition, exploring the benefits of using sampled ego network data in ABMs of cultural diffusion. Thus, instead of relying on full network data, which can be difficult and costly to collect, or no empirical network data, which is convenient but not empirically grounded, we …

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Structural Effects Of Network Sampling Coverage I: Nodes Missing At Random, Jeffrey A. Smith, James Moody Jan 2013

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 …

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