In order to disseminate and exchange community intelligence with the local community, local law enforcement agencies must understand how to identify the appropriate points of contact within the community based on the community's social structure. Based on the research, no clear model has been used to identify the appropriate points of contact in the community, and this gap has led to distrust and misinformation between local law enforcement and community members. The purpose of this conversion mixed methods study was to understand the extent to which social network analysis can be a feasible model for identifying the points of contact in a Midwestern Somali community for the exchange of community intelligence. The theoretical framework for the study was social capital theory. Data were collected through 6 semi-structured interviews and were converted to binary, directed data for social network analysis. Data were then coded for thematic analysis to provide triangulation in testing the model against the research question. A cohesive, dense network, as well as key players or "points of contact" in the network, were identified. The key players were also identified in the thematic analysis as powerful, connected, and influential, which correlated the theoretical framework and social network analysis in the identification of the social structure of the community. The recommendation is to test the model in other communities to determine the feasibility of application of the model by local law enforcement. These findings have implications for positive social change for law enforcement, who may capitalize on the utility of social network analysis to identify appropriate points of contact, to collaborate on concerns, and to build a stronger trust relationship with their community.
This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks—networks of offenders who have committed crimes together—have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each of the studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.
This book examines the use of social network analysis (SNA) in operational environments from the perspective of those who actually apply it. A rapidly growing body of literature suggests that SNA can reveal significant insights into the overall structure of criminal networks as well as the position of critical actors within such groups. This book draws on the existing SNA and intelligence literature, as well as qualitative interviews with crime intelligence analysts from two Australian state law enforcement agencies to understand its use by law enforcement agencies and the extent to which it can be used in practice. It includes a discussion of the challenges that analysts face when attempting to apply various network analysis techniques to criminal networks. Overall, it advances SNA as an investigative tool, and provides a significant contribution to the field that will be of interest to both researchers and practitioners interested in social network analysis, intelligence analysis and law enforcement.
This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.
Police officer John Bertetto explains how social network analysis is helping police to understand criminal organizations and to better target individuals key to gangs or crime families. He also discusses his approach to teaching social network analysis.
This intelligence guide was prepared in response to requests from law enforcement executives for guidance in intelligence functions in a post-September 11 world. It will help law enforcement agencies develop or enhance their intelligence capacity and enable them to fight terrorism and other crimes while preserving community policing relationships. The world of law enforcement intelligence has changed dramatically since September 11, 2001. State, local, and tribal law enforcement agencies have been tasked with a variety of new responsibilities; intelligence is just one. In addition, the intelligence discipline has evolved significantly in recent years. As these various trends have merged, increasing numbers of American law enforcement agencies have begun to explore, and sometimes embrace, the intelligence function. This guide is intended to help them in this process. The guide is directed primarily toward state, local, and tribal law enforcement agencies of all sizes that need to develop or reinvigorate their intelligence function. Rather than being a manual to teach a person how to be an intelligence analyst, it is directed toward that manager, supervisor, or officer who is assigned to create an intelligence function. It is intended to provide ideas, definitions, concepts, policies, and resources. It is a primera place to start on a new managerial journey. Every law enforcement agency in the United States, regardless of agency size, must have the capacity to understand the implications of information collection, analysis, and intelligence sharing. Each agency must have an organized mechanism to receive and manage intelligence as well as a mechanism to report and share critical information with other law enforcement agencies. In addition, it is essential that law enforcement agencies develop lines of communication and information-sharing protocols with the private sector, particularly those related to the critical infrastructure, as well as with those private entities that are potential targets of terrorists and criminal enterprises. Not every agency has the staff or resources to create a formal intelligence unit, nor is it necessary in smaller agencies. This document will provide common language and processes to develop and employ an intelligence capacity in SLTLE agencies across the United States as well as articulate a uniform understanding of concepts, issues, and terminology for law enforcement intelligence (LEI). While terrorism issues are currently most pervasive in the current discussion of LEI, the principles of intelligence discussed in this document apply beyond terrorism and include organized crime and entrepreneurial crime of all forms. Drug trafficking and the associated crime of money laundering, for example, continue to be a significant challenge for law enforcement. Transnational computer crime, particularly Internet fraud, identity theft cartels, and global black marketeering of stolen and counterfeit goods, are entrepreneurial crime problems that are increasingly being relegated to SLTLE agencies to investigate simply because of the volume of criminal incidents. Similarly, local law enforcement is being increasingly drawn into human trafficking and illegal immigration enterprises and the often associated crimes related to counterfeiting of official documents, such as passports, visas, driver's licenses, Social Security cards, and credit cards. All require an intelligence capacity for SLTLE, as does the continuation of historical organized crime activities such as auto theft, cargo theft, and virtually any other scheme that can produce profit for an organized criminal entity. To be effective, the law enforcement community must interpret intelligence-related language in a consistent manner. In addition, common standards, policies, and practices will help expedite intelligence sharing while at the same time protecting the privacy of citizens and preserving hard-won community policing relationships.~
What is intelligence-led policing? Who came up with the idea? Where did it come from? How does it relate to other policing paradigms? What distinguishes an intelligence-led approach to crime reduction? How is it designed to have an impact on crime? Does it prevent crime? What is crime disruption? Is intelligence-led policing just for the police? These are questions asked by many police professionals, including senior officers, analysts and operational staff. Similar questions are also posed by students of policing who have witnessed the rapid emergence of intelligence-led policing from its British origins to a worldwide movement. These questions are also relevant to crime prevention practitioners and policymakers seeking long-term crime benefits. The answers to these questions are the subject of this book. This book brings the concepts, processes and practice of intelligence-led policing into focus, so that students, practitioners and scholars of policing, criminal intelligence and crime analysis can better understand the evolving theoretical and empirical dynamics of this rapidly growing paradigm. The first book of its kind, enhanced by viewpoint contributions from intelligence experts and case studies of police operations, provides a much-needed and timely in-depth synopsis of this emerging movement in a practical and accessible style.
Networks and Network Analysis for Defence and Security discusses relevant theoretical frameworks and applications of network analysis in support of the defence and security domains. This book details real world applications of network analysis to support defence and security. Shocks to regional, national and global systems stemming from natural hazards, acts of armed violence, terrorism and serious and organized crime have significant defence and security implications. Today, nations face an uncertain and complex security landscape in which threats impact/target the physical, social, economic and cyber domains. Threats to national security, such as that against critical infrastructures not only stem from man-made acts but also from natural hazards. Katrina (2005), Fukushima (2011) and Hurricane Sandy (2012) are examples highlighting the vulnerability of critical infrastructures to natural hazards and the crippling effect they have on the social and economic well-being of a community and a nation. With this dynamic and complex threat landscape, network analysis has emerged as a key enabler in supporting defence and security. With the advent of ‘big data’ and increasing processing power, network analysis can reveal insights with regards to structural and dynamic properties thereby facilitating greater understanding of complex networks, their entities, interdependencies, vulnerabilities to produce insights for creative solutions. This book will be well positioned to inform defence, security and intelligence professionals and researchers with regards to leading methodologies and approaches.
Privacy is a growing concern in the United States and around the world. The spread of the Internet and the seemingly boundaryless options for collecting, saving, sharing, and comparing information trigger consumer worries. Online practices of business and government agencies may present new ways to compromise privacy, and e-commerce and technologies that make a wide range of personal information available to anyone with a Web browser only begin to hint at the possibilities for inappropriate or unwarranted intrusion into our personal lives. Engaging Privacy and Information Technology in a Digital Age presents a comprehensive and multidisciplinary examination of privacy in the information age. It explores such important concepts as how the threats to privacy evolving, how can privacy be protected and how society can balance the interests of individuals, businesses and government in ways that promote privacy reasonably and effectively? This book seeks to raise awareness of the web of connectedness among the actions one takes and the privacy policies that are enacted, and provides a variety of tools and concepts with which debates over privacy can be more fruitfully engaged. Engaging Privacy and Information Technology in a Digital Age focuses on three major components affecting notions, perceptions, and expectations of privacy: technological change, societal shifts, and circumstantial discontinuities. This book will be of special interest to anyone interested in understanding why privacy issues are often so intractable.
