Copresence networks

David Skillicorn, Christian Leuprecht

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Copresence networks are constructed by associating individuals who are at the same place at the same time - in our case at police-involved incidents. They generalize networks such a co-offender networks, which are becoming mainstream police and intelligence tools. Because copresence can be generated from police incident data, such networks are cheap to construct since they require no specialised surveillance - they are implicit in data that is routinely collected.We demonstrate that copresence network analytics, using graph embedding, gives a sense of the criminal landscape in a city; shows the importance of non-criminals in this landscape; and suggests targets for further in-depth attention (unusual subgroups, non-criminals who are brokers). We also show that homophily in level of criminality generally holds, but there are strong exceptions that deserve police attention. Copresence networks also arise naturally in other domains such as border protection and intelligence surveillance, so the techniques described here are also applicable in those domains.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018
EditorsDongwon Lee, Nitesh Saxena, Ponnurangam Kumaraguru, Ghita Mezzour
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages118-123
Number of pages6
ISBN (Electronic)9781538678480
ISBN (Print)9781538678497
DOIs
Publication statusPublished - 24 Dec 2018
Externally publishedYes
Event16th IEEE International Conference on Intelligence and Security Informatics, ISI 2018 - Florida International University, Miami, United States
Duration: 9 Nov 201811 Nov 2018
Conference number: 16

Publication series

Name2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018

Conference

Conference16th IEEE International Conference on Intelligence and Security Informatics, ISI 2018
CountryUnited States
CityMiami
Period9/11/1811/11/18

Keywords

  • copresence networks
  • co-offender networks
  • police incident data
  • graph embedding
  • homophily
  • network analysis

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