Sampling bias in systems with structural heterogeneity and limited internal diffusion

Details Sampling bias in systems with structural heterogeneity and limited internal diffusion Sampling bias in systems with structural heterogeneity and limited internal diffusion

2008-07-28

arxiv.org/abs/0807.4420v3

Physics

Physics and Society

Scientific paper

10.1209/0295-5075/85/28001

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.

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