Neighborhood co-offending networks,structural embeddedness,and violent crime in Chicago

Neighborhood disparities in crime are a persistent feature of U.S. cities. Scholars have documented that both local structural conditions and characteristics of spatially proximate communities influence neighborhood crime rates. Previous studies on neighborhood inequality in crime, however, are limited by their focus on identifying average spillover effects between pairs of spatially contiguous neighborhoods, and have neglected to consider how the broader social organization of the city influences local outcomes. This study examines the role of neighborhood-level criminal networks in shaping the distribution of crime throughout cities. Employing arrest records and survey data from the Project on Human Development in Chicago Neighborhoods, we construct a neighborhood-level co-offending network for Chicago for 2001. We use this network to investigate how a focal neighborhood’s homicide rate is influenced by its structural embeddedness within the larger inter-neighborhood co-offending network. Results indicate that a neighborhood’s embeddedness increases the local homicide rate, even after controlling for the neighborhood’s internal propensity toward crime and accounting for unobserved spatial processes.     

Statistical estimation of co-offending youth networks

The relevance and potential of network approaches in criminology are well known. Friendship networks and antisocial influences conveyed by them have an impact on the spread of criminal behavior. However, there are relatively few studies reporting on the use of statistical network models in the analysis of delinquency data. The purpose here is to discuss statistical network models that might be appropriate for estimating joint participation in crime and the structure of co-offending youth networks. The discussion is largely based on problems encountered in some recent exploratory studies of juvenile crime in Stockholm with register data from the police on suspected offenders. A bipartite graph model of such data is built from assumptions about crime reporting and offender detection for a specific type of crimes committed in a certain area during a certain time period. It is shown how the model parameters and the numbers of crimes of different sizes, the numbers of offenders of different activities, and the total number of offences can be estimated from data about reported crimes and police identified offenders. The illustrations also show the need for further statistical development.     

The network dynamics of co-offending careers

Despite the long-standing acknowledgement that crime is a group phenomenon, little research treats co-offending as a dynamic network process. This study analyses the individual and network processes responsible for long-lasting criminal relationships using co-offending dyads from eight years of arrest records in Chicago. Results from proportional hazard models suggest that homophily with respect to age, race, gender, geographic proximity, and gang identity lead to sustained partnerships. Victimization increases the probability of continued co-offending, while the victimization of one’s associates dissuade continued collaboration. Supra-dyadic processes (centrality, transitivity) influence the likelihood of continued co-offending. Results are discussed regarding opportunities and turning points.     

Youth co-offending networks: An investigation of social and spatial effects

This research tests the relative contribution of social distance and spatial distance to the presence of ties between neighborhoods based on youth co-offending. Using official court data from a large U.S. metropolitan area, a set of dyad independence and exponential random graph models are estimated in order to investigate the characteristics of neighborhoods that foster co-offending. Results reveal significant effects of both social and spatial distance. Social distance contributes to network structure net of spatial proximity, though spatial factors better explain the overall network structure. These results have methodological implications for the analysis of spatial effects and criminal behavior.     

Multilevel determinants of collaboration between organised criminal groups

Collaboration between members of different criminal groups is an important feature of crime that is considered organised, as it allows criminals to access resources and skills in order to exploit illicit economic opportunities. Collaboration across criminal groups is also difficult and risky due to the lack of institutions supporting peaceful cooperation in illicit markets. Thus cross-group collaboration has been thought to take place mostly among small and transient groups. This paper determines whether and under what conditions members of different, larger organised crime groups collaborate with one another. To do so we use intelligence data from the Canadian province of Alberta, centering on criminals and criminal groups engaged in multiple crime types in multiple geographic locations. We apply a multilevel network analytical framework and exponential random graph models using Bayesian techniques to uncover the determinants of cross-group criminal collaboration. We find cross-group collaboration depends not only on co-location, but also on the types of groups to which the criminals are affiliated, and on illicit market overlap between groups. When groups are operating in the same geographically-situated illicit markets their members tend not to collaborate with one another, providing evidence for the difficulty or undesirability of cross-group collaboration in illicit markets. Conversely, members of Outlaw Motorcycle Gangs are more likely to collaborate across groups when markets overlap, suggesting the superior capacity and motivation of biker gangs to coordinate criminal activity. Our paper contributes to the understanding of criminal networks as complex, emergent, and spatially embedded market phenomena.     

Social fabric and fear of crime: Considering spatial location and time of day

Criminologists have long noted that social networks play a role in influencing residents' fear of crime, but findings vis a vis the exact nature of that role have been mixed. More social ties may be associated with less fear of crime through their role in collective action, trust, and emotional support, but also with more fear of crime because of their role in the diffusion of information on local crime patterns. In what follows, we suggest temporal and spatial distinctions in how social ties matter for fear of crime with respect to these different mechanisms. Analysis of data from a large scale egocentric network study in Southern California provides evidence for these claims.     

Extrapolative simulation of neighborhood networks based on population spatial distribution: Do they predict crime?

Objectives

Previous criminological scholarship has posited that network ties among neighborhood residents may impact crime rates, but has done little to consider the specific ways in which network structure may enhance or inhibit criminal activity. A lack of data on social ties has arguably led to this state of affairs. We propose to avoid this limitation by demonstrating a novel approach of extrapolatively simulating network ties and constructing structural network measures to assess their effect on neighborhood crime rates.

Methods

We first spatially locate the households of a city into their constituent blocks. Then, we employ spatial interaction functions based on prior empirical work and simulate a network of social ties among these residents. From this simulated network, we compute network statistics that more appropriately capture the notions of cohesion and information diffusion that underlie theories of networks and crime.

Results

We show that these network statistics are robust predictors of the levels of crime in five separate cities (above standard controls) at the very micro geographic level of blocks and block groups.

Conclusions

We conclude by considering extensions of the approach that account for homophily in the formation of network ties.     

Analysing networks of networks

We consider data with multiple observations or reports on a network in the case when these networks themselves are connected through some form of network ties. We could take the example of a cognitive social structure where there is another type of tie connecting the actors that provide the reports; or the study of interpersonal spillover effects from one cultural domain to another facilitated by the social ties. Another example is when the individual semantic structures are represented as semantic networks of a group of actors and connected through these actors’ social ties to constitute knowledge of a social group. How to jointly represent the two types of networks is not trivial as the layers and not the nodes of the layers of the reported networks are coupled through a network on the reports. We propose to transform the different multiple networks using line graphs, where actors are affiliated with ties represented as nodes, and represent the totality of the different types of ties as a multilevel network. This affords studying the associations between the social network and the reports as well as the alignment of the reports to a criterion graph. We illustrate how the procedure can be applied to studying the social construction of knowledge in local flood management groups. Here we use multilevel exponential random graph models but the representation also lends itself to stochastic actor-oriented models, multilevel blockmodels, and any model capable of handling multilevel networks.     

‘Community fear and harassment’: learning difficulties and hate crime incidents in the north-east of England

The aim of this study is to examine the relationship between impairment, disabling barriers and risk factors relating to hate crime incidents. The study analyses quantitative data collected in 2011–2012 where there were 81 incidents of disability hate crime reported in the Tyne and Wear area of England. The research discovered that in the Tyne and Wear region people with learning difficulties have a greater likelihood of experiencing hate crime than do people with other impairments. Although there was no significant difference between impairment and types of hate crime incidents recorded (i.e. verbal abuse/harassment, violence and criminal damage), there were distinct differences between police and victim support responses to victims which correlated to impairment categories (p ≤ 0.05). The study concludes by suggesting that owing to specific disabling barriers experienced by people with learning difficulties, this group is at increased risk of being victimised and is less likely to receive support from criminal justice agencies.     

Mobility types,transnational ties and personal networks in four highly skilled immigrant communities in Seville (Spain)

In this study, we explore how different mobility patterns influence the composition and structure of the transnational social support networks and how personal networks allow us to elicit insightful data of mobile individuals. Ninety-five mobile individuals were selected from four distinct communities based in Seville (Spain), namely: Erasmus students, Flamenco artists, musicians from the symphonic orchestra and partners of European Commission researchers. Data were collected through an electronic survey sent by email with multiple name generators and a structured face-to-face interview utilizing a network visualization tool, VennMaker. Two distinct methods, namely qualitative case studies and cluster analysis were used to characterize mobility types. Findings reveal a heterogeneous foreign population, in which different forms of mobility are reflected in the personal networks of mobile individuals. Respondents who were settled in the city were more likely to have networks in which social support was mainly derived by hosts and people in the host location and with whom they communicated predominantly through face-to-face communication. Those who were in the host location for a study exchange, knowing that return to the county of origin is imminent were more likely to have networks linked to the home location. They relied heavily on strong transnational ties in the home country using social media to sustain their relationship. Respondents with an itinerant mobility profile, also had networks dominated by strong transnational ties, however, such ties had a higher degree of geographical spread due to previous international mobility. Participants who had a high number of hosts in the network but low connection between the ties were more likely to be linked to a specific subculture in the host society. The integration in the host location follows a different pattern to other settled individuals, mainly because their connection in the city tends to be community specific.     

Omission and commission errors in network cognition and network estimation using ROC curve

Network studies on cognitive social structures collect relational data on respondents’ direct ties and their perception of ties among all other individuals in the network. When reporting their perception networks, respondents commit two types of errors, namely, omission (false negatives) and commission (false positives) errors. We first assess the relationship between these two error types, and their contributions on overall respondent accuracy. Next we propose a method for estimating networks based on perceptions of a random sample of respondents from a bounded social network, which utilizes the receiver operator characteristic curve for balancing the tradeoffs between omission and commission errors.     

Clarifying Criminological and Social Psychological Theory: A Second Look at the Relationship between Injustice and General Strain Theory

Research in social psychology and criminology reveals a great deal of overlap when explaining the relationship between injustice and criminal or deviant behavior. The organizational justice literature examines how the major forms of justice (distributive, procedural, and interactional) combine and interact to influence criminal or deviant behaviors in the workplace. While general strain theory (GST) recognizes that injustice is an aspect of strain that fosters criminal coping in multiple contexts, it does not detail the additive and interactive effects that these types of injustice may have on crime. Nevertheless, GST can provide a useful theoretical lens for understanding how injustice facilitates criminal behavior. This article provides an overview of major findings regarding the relationship between injustice and crime according to a GST framework, concluding with a discussion of new directions for future research.     

Assessing the missing data problem in criminal network analysis using forensic DNA data

Missing data is pertinent to criminal networks due to the hidden nature of crime. Generally, researchers evaluate the impact of incomplete network data by extracting or adding nodes and/or edges from a known network. Statistics on this reduced or completed network are then compared with statistics from the known network. In this study, we integrate police data on known offenders with DNA data on unknown offenders. Statistics from the integrated dataset (‘known network’) are compared with statistics from the police data (‘reduced network’). Networks with both known and unknown offenders are bigger but also have a different structure to networks with only known offenders.     

Educational ties,social capital and the translocal (re)production of MBA alumni networks

Research on elite, transnational networks has identified social and cultural capital associated with particular academic credentials as being an important element in network formation. How and why such networks are reproduced after graduation, however, has received less attention. In response, in this article I combine work on social capital and personal networks to explore the reproduction of MBA alumni networks in London's financial services district that were created in leading business schools in the USA and UK. My analysis documents the ways in which business schools and individual alumni combine forms of virtual and corporeal co‐presence to reproduce translocal educational ties. I then argue that the motivation for sustaining these educational ties lies in the potential to convert the social and cultural capital of MBA alumni networks into different types of value ranging from enhanced career progression to increased alumni donations. In doing so, I develop debates on the intersections between social capital, academic credentials and the reproduction of elite networks.     

ORGANIZED CRIME OR INDIVIDUAL CRIME? ENDOGENOUS SIZE OF A CRIMINAL ORGANIZATION AND THE OPTIMAL LAW ENFORCEMENT

This article develops a simple but general criminal decision framework in which individual crime and organized crime are coexisting alternatives to a potential offender. It enables us to endogenize the size of a criminal organization and explore interactive relationships among sizes of criminal organization, the crime rate, and the government's law enforcement strategies. We show that the method adopted to allocate the criminal organization's payoffs and the extra benefit provided by the criminal organization play crucial roles in an individual's decision to commit a crime and the way in which he or she commits that crime. The two factors also jointly determine the market structure for crime and the optimal law enforcement strategy to be adopted by a government. (JEL K4 )     

Migrants' social networks and weak ties: accessing resources and constructing relationships post‐migration

Within migration studies literature there is a tendency to assume that migrants have ready access to kin and friendship networks which facilitate the migration and settling processes. Through tight bonds of trust and reciprocity, these networks are considered to be sources of social capital, providing a counter‐balance to the disadvantages that migrants may encounter in the destination society. This paper argues that more attention is needed to the ways in which migrants access, maintain and construct different types of networks, in varied social locations, with diverse people. I suggest that the often simplistic dichotomy of bonding and bridging capital needs to be re‐appraised and instead offer an alternative way of thinking about these social ties. The distinction between them tends to be understood on the basis of the ethnicity of the people involved – bonding involves close ties with ‘people like us’ while bridging involves links beyond ‘group cleavages’. Insufficient attention has been paid to the actual resources flowing between these ties or the kinds of relationship developing between the actors involved. The nature of these social networks may be better understood by focusing on the relationship between the actors, their relative social location, and their available and realisable resources. Data from a qualitative study of Polish migrants in London is used to illustrate this approach.     

A psychosocial study on crime and gender: Position,role and status of women in a sample of Spanish criminal organizations / Un estudio psicosocial sobre la delincuencia y género. Posición,rol y estatus de la mujer en una muestra española de organizaciones criminales

The purpose of this study was to determine the socio-demographic characteristics of a sample of females (N = 200) who have belonged to organized crime groups (N = 67) that have operated in Spain between 1999 and 2010, along with what their roles and status have been. The information has been mined from police records provided by the Central Operational Unit of the Guardia Civil. The results enable us to conclude that most of the females are adults, and that many of them have family or partner ties to the organizations. Furthermore, they are actively involved in these criminal groups, mainly performing jobs that do not require the use of violence, and they are especially needed for internal security. In terms of status, the majority seem to be at the lowest level of the organizational structure, although we have managed to identify some women who have played leadership roles in criminal organizations.     

PREDICTORS OF FEAR OF CRIMINAL VICTIMIZATION AT SCHOOL AMONG ADOLESCENTS

Adolescent crime at school, as well as adolescent fear of crime at school, have increasingly become serious social problems. Although many studies have been conducted examining the predictors of fear of crime among adults in various settings, fear of criminal victimization among adolescents at school has been practically ignored. Using a representative sample of 742 high school students from a southeastern state, this study examined the predictors of adolescent fear of crime at school in an attempt to determine whether they are similar to predictors of adult fear of crime. Results indicate that, although the predictors of fear among adolescents are, in many cases, similar to those of adults, there are important differences. As expected, youths with lower levels of perceived safety at school and youths who perceive their neighborhoods as exhibiting signs of incivility were more likely to be fearful of criminal victimization at school. Interestingly, however, there were important differences between adolescents and adults regarding the effects of race, gender, and victimization experience and fear of crime. The results from this study indicate that the effects of race and victimization experience on fear of crime vary by gender: Namely, Black males were more fearful than White males, and female victims of crime were more fearful than females who had not been victimized by crime. This study suggests that the phenomena that underlie fear of crime among adults are somewhat different than those of adolescents.     

The Endangered Empire: American Re- sponses to Transnational Organized Crime

Abstract

Transnational organized crime in the United States represents the dark side of globalization. This chapter attempts to identify the key problems that face US law enforcement in its efforts to cope with the challenges posed by transnational crime. While the realities of global crime require a broad, comprehensive law enforcement response, unfortunately, even in the United States, law enforcement agencies still tend to turn to local organizations and resort to local remedies to combat international criminal activity. In recent years the size of illegal markets and the resources of transnational crime networks have imposed financial burdens on governments that must devote resources to this struggle. Furthermore, the needs for flexible international trade initiatives and commercial investment frameworks makes the task of US law enforcement agencies engaged in criminal containment and control strategies more difficult to develop and sustain. US law enforcement is multi-layered with jurisdictional authority that is sometimes overlapping and reinforcing which in turn strengthens responses to crime. On the other hand, there are serious issues concerning decentralized enforcement authority that affects federal, regional, and state jurisdictions. Complicating matters still further are the external threats that transnational crime poses that lay beyond the official reach of U. S. criminal justice. Other US issues that complicate and indeed thwart adequate enforcement responses include: the politicization of law enforcement budgets and central government allocations of resources for law enforcement which too often depend upon political partisanship and party loyalties. And media-engendered fears about transnational crime phenomena are often confused with genuine social problems such as immigration and illegal aliens. Too frequently, media distort public attention about crime problems such as urban street gangs operating across national borders.     

RISKS AND MITIGATING FACTORS IN DECISIONS TO ACCEPT STUDENTS WITH CRIMINAL RECORDS

Social work educators have few guidelines to help them evaluate master''s of social work applicants with criminal records. This study surveyed 280 field supervisors and asked them to rate their likelihood of rejecting a student with a criminal record depending on crime type and mitigating factors. Results found that supervisors' perception of risk was influenced by the nature of the crime, mitigating factors related to the crime, and, in some crime categories, agency type and personal characteristics of the respondent. Field supervisors' appraisals of risk diverged somewhat from criminological research, which generally uses mitigating factors rather than crime type to evaluate risk of recidivism.