Omission and commission errors in network cognition and network estimation using ROC curve |
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| Affiliation: | 1. Department of Industrial Engineering, Istanbul Bilgi University, 34060 Eyüp, Istanbul, Turkey;2. Department of International Relations, Koç University, Sarıyer 34450, Istanbul, Turkey;3. Department of Public Administration, University of Illinois at Chicago, Chicago, IL 06607, USA;1. Institute of Sociology, Academia Sinica, Taiwan, ROC;2. Department of Sociology, Beijing University, China;1. Arizona State University, United States;2. University of Illinois at Urbana-Champaign, United States |
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| Abstract: | Network studies on cognitive social structures collect relational data on respondents’ direct ties and their perception of ties among all other individuals in the network. When reporting their perception networks, respondents commit two types of errors, namely, omission (false negatives) and commission (false positives) errors. We first assess the relationship between these two error types, and their contributions on overall respondent accuracy. Next we propose a method for estimating networks based on perceptions of a random sample of respondents from a bounded social network, which utilizes the receiver operator characteristic curve for balancing the tradeoffs between omission and commission errors. |
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| Keywords: | Network estimation Cognitive social structures Network sampling |
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