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Assessing the missing data problem in criminal network analysis using forensic DNA data
ارزیابی مشکل داده از دست رفته در تحلیل شبکه جنایی با استفاده از داده های DNA پزشکی قانونی-2020 Missing data is pertinent to criminal networks due to the hidden nature of crime. Generally, researchers evaluate
the impact of incomplete network data by extracting or adding nodes and/or edges from a known network.
Statistics on this reduced or completed network are then compared with statistics from the known network. In
this study, we integrate police data on known offenders with DNA data on unknown offenders. Statistics from the
integrated dataset (‘known network’) are compared with statistics from the police data (‘reduced network’).
Networks with both known and unknown offenders are bigger but also have a different structure to networks
with only known offenders. Keywords: Missing data | Unknown offenders | Real-world network | Forensic DNA | Police recorded crime data |
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