Criminal Network Community Detection Using Graphical Analytic Methods: A Survey

Sangkaran, Theyvaa; Abdullah, Azween; Jhanjhi, N. Z.

doi:10.4108/eai.13-7-2018.162690

Cited by 8 publications

(6 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second stage of analysis involves community detection within the co-accusal network to identify highly connected subsets of nodes within a larger network. Such algorithms are used in a variety of contexts ranging from identifying communities in criminal networks to locating associations between product preferences [ 61 , 62 ]. The intuition behind most community detection algorithms is to identify subgraphs with nodes that are more connected with other nodes within the subgraph than to nodes outside the subgraph.…”

Section: Methodsmentioning

confidence: 99%

Identifying misconduct-committing officer crews in the Chicago police department

Jain¹,

Sinclair

Papachristos

2022

PLoS ONE

View full text Add to dashboard Cite

Explanations for police misconduct often center on a narrow notion of “problem officers,” the proverbial “bad apples.” Such an individualistic approach not only ignores the larger systemic problems of policing but also takes for granted the group-based nature of police work. Nearly all of police work is group-based and officers’ formal and informal networks can impact behavior, including misconduct. In extreme cases, groups of officers (what we refer to as, “crews”) have even been observed to coordinate their abusive and even criminal behaviors. This study adopts a social network and machine learning approach to empirically investigate the presence and impact of officer crews engaging in alleged misconduct in a major U.S. city: Chicago, IL. Using data on Chicago police officers between 1971 and 2018, we identify potential crews and analyze their impact on alleged misconduct and violence. Results detected approximately 160 possible crews, comprised of less than 4% of all Chicago police officers. Officers in these crews were involved in an outsized amount of alleged and actual misconduct, accounting for approximately 25% of all use of force complaints, city payouts for civil and criminal litigations, and police-involved shootings. The detected crews also contributed to racial disparities in arrests and civilian complaints, generating nearly 18% of all complaints filed by Black Chicagoans and 14% of complaints filed by Hispanic Chicagoans.

show abstract

Section: Methodsmentioning

confidence: 99%

Identifying misconduct-committing officer crews in the Chicago police department

Jain¹,

Sinclair

Papachristos

2022

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The criminal network prediction models commonly rely on Social Network Analysis (SNA) metrics. These models leverage on machine learning (ML) techniques to enhance the predictive accuracy of the models and processing speed [29], this can be a great scope to conduct research [30][31][32][33][34].…”

Section: Resultsmentioning

confidence: 99%

Criminal Community Detection Based on Isomorphic Subgraph Analytics

Sangkaran

Abdullah

Jhanjhi

2020

Open Computer Science

Self Cite

View full text Add to dashboard Cite

AbstractAll highly centralised enterprises run by criminals do share similar traits, which, if recognised, can help in the criminal investigative process. While conducting a complex confederacy investigation, law enforcement agents should not only identify the key participants but also be able to grasp the nature of the inter-connections between the criminals to understand and determine the modus operandi of an illicit operation. We studied community detection in criminal networks using the graph theory and formally introduced an algorithm that opens a new perspective of community detection compared to the traditional methods used to model the relations between objects. Community structure, generally described as densely connected nodes and similar patterns of links is an important property of complex networks. Our method differs from the traditional method by allowing law enforcement agencies to be able to compare the detected communities and thereby be able to assume a different viewpoint of the criminal network, as presented in the paper we have compared our algorithm to the well-known Girvan-Newman. We consider this method as an alternative or an addition to the traditional community detection methods mentioned earlier, as the proposed algorithm allows, and will assists in, the detection of different patterns and structures of the same community for enforcement agencies and researches. This methodology on community detection has not been extensively researched. Hence, we have identified it as a research gap in this domain and decided to develop a new method of criminal community detection.

show abstract

“…Furthermore, most community detection methods treat the existence of an organization as binary, rather than the continuum suggested by quantification of CCO [ 3 ]. For example, this rigidness is true even of network methods applied to criminal networks [ 18 ], which CCO has recognized as examples of partial organization [ 19 ].…”

Section: Past Workmentioning

confidence: 99%

Measuring the communicative constitution of organization as network formation

Schwing,

Pitt

2024

PLoS ONE

View full text Add to dashboard Cite

We propose a set of metrics, based upon the four flows theory of the communicative constitution of organizations, to evaluate the emergence of organization in a social network. Using an agent-based model (ABM), we validate that our metrics chart the evolution of partial organizations as the population progresses from complete dissociation to unified allegiance. Our metrics allow the evaluation of organizational strength much more efficiently than previous, context-specific methods. The simulation produces other results consistent with human society, such as stable heterogeneity of structures and organizational figureheads, further validating our results. The ABM of emergent organization incorporates only widely-observed cognitive behaviors and the recognition by agents of group membership, without any cooperation among the agents. The four flows are produced solely by agents biasing their limited communication resources in favor of allies. While reaffirming the centrality of communication patterns to organization, we thus also challenge the minimal conditions required to produce organizing behavior and complex social structures.

show abstract

Criminal Network Community Detection Using Graphical Analytic Methods: A Survey

Cited by 8 publications

References 53 publications

Identifying misconduct-committing officer crews in the Chicago police department

Identifying misconduct-committing officer crews in the Chicago police department

Criminal Community Detection Based on Isomorphic Subgraph Analytics

Measuring the communicative constitution of organization as network formation

Contact Info

Product

Resources

About