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Assessing the missing data problem in criminal network analysis using forensic DNA data

Tijdschriftbijdrage - Tijdschriftartikel

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 (U+2018known networkU+2019) are compared with statistics from the police data (U+2018reduced networkU+2019). Networks with both known and unknown offenders are bigger but also have a different structure to networks with only known offenders.
Tijdschrift: SOCIAL NETWORKS
ISSN: 1879-2111
Volume: 61
Pagina's: 99 - 106
Jaar van publicatie:2020