Onnela, Jukka-Pekka, Johnson, Neil F., Gourley, Sean, Reinert, Gesine and Spagat, Michael (2009) Sampling bias in systems with structural heterogeneity and limited internal diffusion. Europhysics Letters, 85 (2). p. 28001.
Complex-systems research is becomingly increasingly data-driven, particularly in the social and biological domains. Many of the systems from which sample data are collected feature structural heterogeneity at the mesoscopic scale (i.e. communities) and limited inter-community diffusion. Here we show that the interplay between these two features can yield a significant bias in the global characteristics inferred from the data. We present a general framework to quantify this bias, and derive an explicit corrective factor for a wide class of systems. Applying our analysis to a recent high-profile survey of conflict mortality in Iraq suggests a significant overestimate of deaths.
|Citations:||Web of Science: 0|
|Keywords:||Complex-systems research; bias; structural heterogeneity; limited internal diffusion; conflict mortality|
Science & technology management
|Centre:||CABDyN Complexity Centre
Institute for Science, Innovation and Society
|Date Deposited:||16 Jun 2010 09:24|
|Last Modified:||23 Oct 2015 14:05|
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