Social Network Analysis and Crime Intelligence

Burcher, Morgan

doi:10.1007/978-3-030-47771-4_3

Cited by 4 publications

(6 citation statements)

References 44 publications

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“…Further, research on the technological tools adopted for intelligence analysis has identified ‘fundamental limitations’ to its implementation and effective use. Burcher’s (2020) study on the integration and use of social network analysis in policing found that the technological infrastructure of police services posed challenges for producing meaningful analyses and led to the manual manipulation of data which negatively impacted data quality. Babuta (2017) found that fragmented databases and software, along with legal constraints governing data usage and a lack of organisational access to advanced analytic tools, impede the effective use of Big Data analytics (see also Ridgeway, 2017).…”

Section: Datafication and Intelligence Productionmentioning

confidence: 99%

“…Since police organisations typically lack this kind of expertise, they will have to either give up their monopoly over intelligence knowledge or devote resources to buy this kind of expertise and appropriate it for the mission of policing. To maintain the image that police organisations are eager to adopt new technology to improve efficiency and effectiveness, police are likely to invest in technological developments but not VFN in its entirety, hence perpetuating the trend that researchers have found in other studies of policing innovation (Burcher, 2020; Sanders and Condon, 2017), that police will cherry-pick aspects of technology that are symbolically beneficial and financially affordable and employ them to further ‘traditional’ crime fighting.…”

Section: Datafication and Intelligence Productionmentioning

confidence: 99%

“…There is a growing body of research on criminal intelligence analysis. One focus has been on the increased reliance on data, such as in hot spot mapping wherein retrospective data is used to identify high concentrations of crime in order to identify where to focus police and crime reduction strategies (Chainey et al, 2008) and social network analysis which seeks to identify patterns in social structures in order to relate those structures to the overall functioning of a criminal network (Bright and Whelan, 2020; Burcher, 2020), as well as the impact analytic practices have on the effectiveness of crime control (Ratcliffe, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Datafication and the practice of intelligence production

et al. 2022

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Datafication of social life affects what society regards as knowledge. Jasanoff’s regimes of sight framework provides three ideal-type models of authorised knowing in environmental data practice. This paper applies Jasanoff's framework for analysing intelligence practice through an exploratory empirical study of crime and intelligence practitioners in a selection of police services in Australia, New Zealand, Canada and the United States. The paper argues that the ‘view from somewhere’ (VFS) captures the essence of existing police intelligence practices in the four countries but the ‘view from nowhere’ (VFN) is emerging as a possible future for police intelligence – an approach promoted by technology companies and supported mainly by police leaders and managers. The paper investigates the challenges and limits of a shift by police from VFS to VFN in the production of intelligence; the challenges are primarily political, which threaten the dominance of police contextual knowledge over ‘scientific’ knowledge. These political challenges also have symbolic and material implications. The paper concludes that, because of these challenges, a complete shift from VFS to VFN is not likely to happen. At best the two models might co-exist with the latter subordinate to the imperatives of the former, resulting in further tension between sworn officers and civilians, organisational inertia, as well as technologies that may be under-utilised or abandoned.

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Section: Datafication and Intelligence Productionmentioning

confidence: 99%

Section: Datafication and Intelligence Productionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Datafication and the practice of intelligence production

et al. 2022

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“…Burcher [34] explained how intelligence analysts apply SNA in operational environments focusing on the identification of key actors, network vulnerabilities, avenues of enquiry, link and attribute weights, and when during an investigation, analysts apply SNA.…”

Section: Related Workmentioning

confidence: 99%

The Whole Is Greater than the Sum of the Parts: A Multilayer Approach on Criminal Networks

et al. 2022

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Traditional social network analysis can be generalized to model some networked systems by multilayer structures where the individual nodes develop relationships in multiple layers. A multilayer network is called multiplex if each layer shares at least one node with some other layer. In this paper, we built a unique criminal multiplex network from the pre-trial detention order by the Preliminary Investigation Judge of the Court of Messina (Sicily) issued at the end of the Montagna anti-mafia operation in 2007. Montagna focused on two families who infiltrated several economic activities through a cartel of entrepreneurs close to the Sicilian Mafia. Our network possesses three layers which share 20 nodes. The first captures meetings between suspected criminals, the second records phone calls and the third detects crimes committed by pairs of individuals. We used measures from multilayer network analysis to characterize the actors in the network based on their local edges and their relevance to each specific layer. Then, we used measures of layer similarity to study the relationships between different layers. By studying the actor connectivity and the layer correlation, we demonstrated that a complete picture of the structure and the activities of a criminal organization can be obtained only considering the three layers as a whole multilayer network and not as single-layer networks. Specifically, we showed the usefulness of the multilayer approach by bringing out the importance of actors that does not emerge by studying the three layers separately.

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“…With an ongoing demand and trend of sharing information, social network has been creating breakthrough innovations in this perspective [1]. It is not only used for sharing information but also extensively used for constructing business opportunities too [2].…”

Section: Introductionmentioning

confidence: 99%

Insights on Data Security Schemes and Authentication Adopted in Safeguarding Social Network

Nithya¹,

Rekha²

2023

IJACSA

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With the increased social network usage, there is a rising concern about potential security and privacy risks related to digital information data. Although there have been numerous studies in this area, a summary is necessary to understand the effectiveness of existing security approaches. The ultimate goal is to provide valuable insights into the effectiveness of existing security schemes in the social network ecosystem. Therefore, the proposed paper discusses the existing research that has been done on authentication and data security measures, including methodologies, issues, benefits, and drawbacks. The inquiry further contributes to highlighting existing research trends and identifying the gap. The paper concludes by stating its learning results that help to open possible insights into the effectiveness of existing security schemes in the social network. Furthermore, blockchain is witnessed with increased interest in distributed security over large data. The paper's outcome states that blockchain-based authentication systems possess better scope if subjected to amending their inherent shortcomings. The findings of this paper emphasize the importance of continuous innovation in data security to ensure the safety and privacy of user data in an ever-evolving digital landscape. This paper offers a foundational aspect for future research toward developing more secure, privacy-preserving solutions for social network users.

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Social Network Analysis and Crime Intelligence

Cited by 4 publications

References 44 publications

Datafication and the practice of intelligence production

Datafication and the practice of intelligence production

The Whole Is Greater than the Sum of the Parts: A Multilayer Approach on Criminal Networks

Insights on Data Security Schemes and Authentication Adopted in Safeguarding Social Network

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