Copresence networks

David Skillicorn; Christian Leuprecht

doi:10.1109/ISI.2018.8587337

Copresence networks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018
Editors	Dongwon Lee, Nitesh Saxena, Ponnurangam Kumaraguru, Ghita Mezzour
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	118-123
Number of pages	6
ISBN (Electronic)	9781538678480
ISBN (Print)	9781538678497
DOIs	https://doi.org/10.1109/ISI.2018.8587337
Publication status	Published - 24 Dec 2018
Externally published	Yes
Event	16th IEEE International Conference on Intelligence and Security Informatics, ISI 2018 - Florida International University, Miami, United States Duration: 9 Nov 2018 → 11 Nov 2018 Conference number: 16

Publication series

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

Conference

Conference	16th IEEE International Conference on Intelligence and Security Informatics, ISI 2018
Country/Territory	United States
City	Miami
Period	9/11/18 → 11/11/18

Keywords

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

Access to Document

10.1109/ISI.2018.8587337Licence: In Copyright

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Skillicorn, D., & Leuprecht, C. (2018). Copresence networks. In D. Lee, N. Saxena, P. Kumaraguru, & G. Mezzour (Eds.), 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018 (pp. 118-123). [8587337] (2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISI.2018.8587337

Skillicorn, David ; Leuprecht, Christian. / Copresence networks. 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018. editor / Dongwon Lee ; Nitesh Saxena ; Ponnurangam Kumaraguru ; Ghita Mezzour. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 118-123 (2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018).

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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.",

keywords = "copresence networks, co-offender networks, police incident data, graph embedding, homophily, network analysis",

author = "David Skillicorn and Christian Leuprecht",

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doi = "10.1109/ISI.2018.8587337",

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series = "2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018",

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Skillicorn, D & Leuprecht, C 2018, Copresence networks. in D Lee, N Saxena, P Kumaraguru & G Mezzour (eds), 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018., 8587337, 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 118-123, 16th IEEE International Conference on Intelligence and Security Informatics, ISI 2018, Miami, Florida, United States, 9/11/18. https://doi.org/10.1109/ISI.2018.8587337

Copresence networks. / Skillicorn, David; Leuprecht, Christian.

2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018. ed. / Dongwon Lee; Nitesh Saxena; Ponnurangam Kumaraguru; Ghita Mezzour. Institute of Electrical and Electronics Engineers Inc., 2018. p. 118-123 8587337 (2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Skillicorn D, Leuprecht C. Copresence networks. In Lee D, Saxena N, Kumaraguru P, Mezzour G, editors, 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 118-123. 8587337. (2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018). https://doi.org/10.1109/ISI.2018.8587337

Copresence networks

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Keywords

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