Using social network analysis to study crime: Navigating the challenges of criminal justice records

Bright, David; Brewer, Russell; Morselli, Carlo

doi:10.1016/j.socnet.2021.01.006

Cited by 48 publications

(58 citation statements)

References 62 publications

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“…In the present study, we used SNA to draw connections between the variables in the PLS models. Consequently, seeking patterns can be used to increase the understanding of how research efforts and observations at the individual level (node level) and the complete level (whole network) can help create an overview about the levels and trends regarding resilience in SMEs (Bright et al. , 2021).…”

Section: Methodsmentioning

confidence: 99%

Components to foster organizational resilience in tourism SMEs

Núñez-Ríos

Sánchez-García

Soto-Pérez

et al. 2021

BPMJ

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PurposeSmall- and medium-sized enterprises (SMEs) mainly rely on their structure and internal networks to achieve their goals and remain competitive. However, their limited internal capabilities and complex environments can hinder their stability. Thus, this study evaluated the relationships among specific factors toward fostering organizational resilience (OR) in tourism SMEs.Design/methodology/approachA multi-methodological approach was adopted to address this research study, including (1) social network analysis (SNA) to formulate the conceptual model and (2) construct validation through partial least squares path modeling (PLS-PM).FindingsThe six proposed hypotheses were supported. These results suggest that addressing these variables and relationships after considering management style and people development as critical factors can foster OR in tourism SMEs.Research limitations/implicationsThe ideas that were developed were constrained to the organizational domain. Although the results apply to the Mexican context, this limitation can be offset by extending the proposal to other emergent regions or organizations. This can also increase the generalization of the results and foster improvements in the approaches applied.Practical implicationsAcademics and managers must rethink resilience as the final state generated by multiple factors. This requires reconfiguring inner organizational interactions, providing more autonomy to operative units, reinforcing business intelligence and improving feedback mechanisms.Originality/valueThis research study contrasts previous studies because it proposes that SNA be exploited to avail of the advantages it confers in designing the conceptual model. In this regard, we present new relationships to promote OR and provide new avenues in order to improve the analysis of adaptation processes.

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Section: Methodsmentioning

confidence: 99%

Components to foster organizational resilience in tourism SMEs

Núñez-Ríos

Sánchez-García

Soto-Pérez

et al. 2021

BPMJ

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“…Whether network data collection of administrative records is conducted in schools or in prisons, researchers must proceed with caution. Missing data and coding errors can both lead to the wrong persons being identified as important in a network (Bright et al , 2021). Relying solely on network data to make intervention decisions may exacerbate these errors.…”

Section: Discussionmentioning

confidence: 99%

“…The truth is, although the majority of gang network studies used police data, there are numerous alternative sources of data that already exist on gang networks and some that can be developed further. Investing into alternative network data can help overcome the problem of missing data that is so common to illicit networks (Bright et al , 2021; Campana and Varese, 2020; Diviak, 2019). In network research, missing data imply missing people who should be part of the network but aren’t; or, for individuals who are in the network, we are sometimes missing existing connections between them.…”

Section: Introductionmentioning

confidence: 99%

Social networks and gangs: moving research forward with low-cost data collection opportunities in school and prison settings

Bouchard

2021

JACPR

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Purpose As useful as police data have been in furthering our knowledge of gangs and gang violence networks, not everything about gang networks can be learned from examining police data alone. There are numerous alternative sources of data that already exist on gang networks and some that can be developed further. This study aims to introduce existing research on social networks and gangs with a specific focus on prisons and schools. Design/methodology/approach This study reviews the existing empirical literature on gang networks in schools and prison settings and use the broader literature on social networks and crime to propose directions for future research, including specific suggestions on data collection opportunities that are considered to be low-cost; that is, strategies that simply make use of existing administrative records in both settings, instead of developing original data collection procedures. Findings The author found the existing literature on each of these settings to be quite limited, especially when the spotlight is put specifically on gang networks. These shortcomings can be addressed via low-cost opportunities for data collection in each of these settings, opportunities that simply require the network coding of existing administrative records as a foundation for gang network studies. Originality/value Investing in these low-cost network data collection activities have the potential for theoretical and empirical contributions on our understanding of gang networks, and may also bring value to practitioners working in school and prison settings as a guide for network-based planning or interventions.

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“…En particulier, il faut comprendre (et dire, ensuite, lorsqu'on publie) ce qui est très probablement exclu ou sous-représenté dans les données, ce qui fait qu'un lien va être compté comme existant, qui (acteurs sociaux étudiés et/ou analystes) l'a défini et comment. Des sociologues et criminologues ont très bien discuté ce problème dans une revue de littérature portant sur l'analyse des réseaux criminels à partir de sources policières et judiciaires (Bright et al, 2021). Comprendre ce que la source tait est nécessaire pour interpréter les données : il s'agit notamment de distinguer quels aspects des graphes ou des chiffres découlent mécaniquement des biais de la source (de son point de vue particulier) et lesquels nous disent quelque chose d'autre de la réalité étudiée.…”

Section: Les Données Ne Sont Qu'un Point De Vue Sur Un Lien (2)unclassified

“…De la même manière, il est possible que des liens qui gênent les personnes concernées, et dont elles ne souhaiteraient pas parler dans le cadre d'un entretien ou d'un questionnaire, aient laissé des traces (L5). C'est notamment ce qu'espèrent les personnes qui utilisent des documents pour étudier des activités illégales (Bright et al, 2021). Les études sur des mouvements d'opposition politique durement réprimés dans le passé, comme celle de Marten Du ¨ring (2013,2015) sur le sauvetage de JuifÁves dans l'Allemagne nazie ou de Maryjane Osa (2003) sur les mouvements d'opposition en Pologne dans la période communiste, donnent un bon exemple d'un usage prudent d'une grande variété de sources, dont des entretiens (y compris la réutilisation d'entretiens menés par d'autres chercheurÁses), des sources du mouvement étudié et de la répression, pour comprendre les logiques relationnelles qui sous-tendaient ces mobilisations.…”

Section: Les Traces De Pratiques : Sources éCrites Et Numériques (E and F)unclassified

Sources et données pour l’analyse des réseaux sociaux

Bès

Favre

Lemercier

2021

Bulletin of Sociological Methodology/Bulletin de Méthodologie S

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Sources and data for social network analysis. Social network analysis (SNA) is becoming more and more widespread in several scientific disciplines as a method for processing social, economic, geographic, historical, digital, etc. data. Visualizations of graphs, communities and other ties are multiplying. However, there is a risk that SNA users may lose sight of the conditions under which their data are produced and thereby over-interpret or under-interpret the results. This article provides a guide to the different types of sources of network data, and the pitfalls and choices encountered in the process of producing network data. The first part provides an overview of these pitfalls and choices, and the second part focuses on the specifics of each source of data. Based on the authors’ experience in training network researchers, the article proposes a review of controlled ways of producing network data from this array of sources.

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Using social network analysis to study crime: Navigating the challenges of criminal justice records

Cited by 48 publications

References 62 publications

Components to foster organizational resilience in tourism SMEs

Components to foster organizational resilience in tourism SMEs

Social networks and gangs: moving research forward with low-cost data collection opportunities in school and prison settings

Sources et données pour l’analyse des réseaux sociaux

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