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While network analysis is applied in a broad variety of scientific fields (including physics, computer science, biology, and the social sciences), how networks are constructed and the resulting bias and incompleteness have drawn more limited attention. For example, in biology, gene networks are typically developed via experiment --many actual interactions are likely yet to be discovered. In addition to this incompleteness, the data-collection processes can introduce significant bias into thedoi:10.2172/1259543 fatcat:s7nabn7xjzhnxnfatlysdvmrfi