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The concepts of centrality and diversity are highly important in search algorithms, and play central roles in applications of artificial intelligence (AI), machine learning (ML), social networks, and pattern recognition. This work examines the significance of centrality and diversity in representation, regression, ranking, clustering, optimization, and classification. The text is designed to be accessible to a broad readership. Requiring only a basic background in undergraduate-level mathematics, the work is suitable for senior undergraduate and graduate students, as well as researchers working in machine learning, data mining, social networks, and pattern recognition.
Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value—from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j—two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection. Learn how graph analytics vary from conventional statistical analysis Understand how classic graph algorithms work, and how they are applied Get guidance on which algorithms to use for different types of questions Explore algorithm examples with working code and sample datasets from Spark and Neo4j See how connected feature extraction can increase machine learning accuracy and precision Walk through creating an ML workflow for link prediction combining Neo4j and Spark
The third edition of The SAGE Handbook of Action Research presents an updated version of the bestselling text, including new chapters covering emerging areas in healthcare, social work, education and international development, as well as an expanded ‘skills’ section which includes new consultant-relevant materials. Building on the strength of the previous landmark editions, Hilary Bradbury has carefully developed this edition to ensure it follows in their footsteps by mapping the current state of the discipline, as well as looking to the future of the field and exploring the issues at the cutting edge of the action research paradigm today. This volume is an essential resource for scholars and professionals engaged in social and political inquiry, healthcare, international development, new media, organizational research and education.
The violent transitions that have dominated developments since the Arab Uprisings demonstrate deep-seated divisions in the conceptions of state authority and citizen rights and responsibilities. Analysing the Middle East through the lens of the ‘citizenship approach’, this book argues that the current diversity of crisis in the region can be ascribed primarily to the crisis in the relations between state and citizen. The volume includes theoretical discussions and case studies, and covers both Arab and non-Arab countries.
This book presents 29 invited articles written by participants of the International Workshop on Operator Theory and its Applications held in Chemnitz in 2017. The contributions include both expository essays and original research papers illustrating the diversity and beauty of insights gained by applying operator theory to concrete problems. The topics range from control theory, frame theory, Toeplitz and singular integral operators, Schrödinger, Dirac, and Kortweg-de Vries operators, Fourier integral operator zeta-functions, C*-algebras and Hilbert C*-modules to questions from harmonic analysis, Monte Carlo integration, Fibonacci Hamiltonians, and many more. The book offers researchers in operator theory open problems from applications that might stimulate their work and shows those from various applied fields, such as physics, engineering, or numerical mathematics how to use the potential of operator theory to tackle interesting practical problems.
In addition to many other issues that touch higher education around the world, diversity and equity in higher education is fast becoming a major opportunity and challenge to institutions, countries and regions. The increasing centrality of diversity is fueled in part by changing demographics, immigration, social movements, calls for remedies to historic grievances, and the relationship between identity and access to power. This book will provide an opportunity to look at efforts at institutional change with respect to diversity in several countries where issues of diversity are moving beyond simply access for diverse populations to efforts at institutional transformation. Its purpose is to provide a comparative perspective with the hope that we will be able to see patterns across these contexts from which we might learn. Amongst other subjects it will address: The historic and contemporary context for diversity Established and emerging salient identities How diversity is framed at a national and institutional level The prevailing strategies and policies for engaging diversity, again at the national and institutional level The role of special purpose institutions This critical book is essential for higher education scholars and practitioners with backgrounds in higher education.
Recruiting, hiring, and retaining an excellent and diverse faculty is a top priority for colleges and universities nationwide. Yet faculty serving on search committees (or hiring committees) receive little or no education about the search process. Relying on both research and experience presenting hiring workshops to search committee members, the authors of this guidebook provide advice and recommendations for conducting an effective faculty search. The book includes practical suggestions for managing all stages of a faculty search as well as recommendations for ensuring that search committee members recruit women and members of underrepresented groups into their applicant pools and consciously avoid the influence of bias and assumptions in their evaluation of job candidates.
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain
What accounts for the lack of diversity in leadership positions? Looking carefully at how current leaders view the relationship between top tier management and diverse groups, Opening Doors to Diversity in Leadership examines recruitment selection, performance evaluation, workplace succession, working conditions, and corporate culture and how they impact hiring, promotion, and retention of diverse groups. Using a psychological, organizational, and cultural framework Opening Doors to Diversity in Leadership will help businesses integrate a more diverse presence in leadership, Emphasizing the interlocking relationship between our thoughts and actions, this book stresses the importance of organizational review and self-reflection as well as the pivotal role of removing unconscious biases from the workplace and identifying the systemic biases embedded in many aspects of human resources management practices.
There is a moral to this book, a bit of Confucian wisdom often ignored in social network analysis: "Worry not that no one knows you, seek to be worth knowing." This advice is contrary to the usual social network emphasis on securing relations with well-connected people. Neighbor Networks examines the cases of analysts, bankers, and managers, and finds that rewards, in fact, do go to people with well-connected colleagues. Look around your organization. The individuals doing well tend to be affiliated with well-connected colleagues. However, the advantage obvious to the naked eye is misleading. It disappears when an individual's own characteristics are held constant. Well-connected people do not have to affiliate with people who have nothing to offer. This book shows that affiliation with well-connected people adds stability but no advantage to a person's own connections. Advantage is concentrated in people who are themselves well connected. This book is a trail of argument and evidence that leads to the conclusion that individuals make a lot of their own network advantage. The social psychology of networks moves to center stage and personal responsibility emerges as a key theme. In the end, the social is affirmed, but with an emphasis on individual agency and the social psychology of networks. The research gives new emphasis to Coleman's initial image of social capital as a forcing function for human capital. This book is for academics and researchers of organizational and network studies interested in a new angle on familiar data, and as a supplemental reading in graduate courses on social networks, stratification, or organizations. A variety of research settings are studied, and diverse theoretical perspectives are taken. The book's argument and evidence are supported by ample appendices for readers interested in background details.