You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
On the Web, a massive amount of user-generated content is available through various channels (e.g., texts, tweets, Web tables, databases, multimedia-sharing platforms, etc.). Conflicting information, rumors, erroneous and fake content can be easily spread across multiple sources, making it hard to distinguish between what is true and what is not. This book gives an overview of fundamental issues and recent contributions for ascertaining the veracity of data in the era of Big Data. The text is organized into six chapters, focusing on structured data extracted from texts. Chapter 1 introduces the problem of ascertaining the veracity of data in a multi-source and evolving context. Issues relate...
This book presents an introduction to Evolutionary Game Theory (EGT) which is an emerging field in the area of complex systems attracting the attention of researchers from disparate scientific communities. EGT allows one to represent and study several complex phenomena, such as the emergence of cooperation in social systems, the role of conformity in shaping the equilibrium of a population, and the dynamics in biological and ecological systems.Since EGT models belong to the area of complex systems, statistical physics constitutes a fundamental ingredient for investigating their behavior. At the same time, the complexity of some EGT models, such as those realized by means of agent-based methods, often require the implementation of numerical simulations. Therefore, beyond providing an introduction to EGT, this book gives a brief overview of the main statistical physics tools (such as phase transitions and the Ising model) and computational strategies for simulating evolutionary games (such as Monte Carlo algorithms on lattices). This book will appeal to students and researchers in this burgeoning field of complex systems.
Looking at protests from Senegal to Kenya, Lisa Mueller shows how cross-class coalitions fuel contemporary African protests across the continent.
At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally expressed as graphs. Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You'll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you'll explore three end-to-end projects that illustrate architec...
A comprehensive introduction to the theory and applications of complex network science, complete with real-world data sets and software tools.
The unique identity is our human persona. It is how others perceive us. What constituents make our persona; does our persona change with time; what constituent of persona does not change; which constituents are there in all humans and which are unique to an individual? The facets of the human persona have a vast canvas and we shall be examining this canvas in the book. Different shades fill this canvas and the individuals appear to others due to varied shades in the persona of different people.
2022 PORCHLIGHT LEADERSHIP & STRATEGY BOOK OF THE YEAR A transformational book for trying times, Dare to Un-Lead will challenge the way you think and feel about the role of leadership in your life. What is revered as leadership today is often nothing more than a destructive set of obsolete behaviors and systems evolved from the centuries-old industrial theories popularized by Frederick Taylor and Henry Ford. This mode of leadership harms individuals and societies and must be reinvented to better reflect the way we live, trade, and work in the 21st century. Dare to Un-Lead explores how contemporary organizations can transform leadership from a top-down hegemony to one that empowers people to ...
with foreword by Michael X. Delli Carpini, Annenberg School for Communication, University of Pennsylvania, USA This book critiques U.S. public policy about communication and offers guidelines to improve public safety and create strong democratic communities. The lack of effective emergency communication, basic information about health care, education, jobs and the economy, and civic life is at a crisis state, creating problems for the whole community, not just a vulnerable few. The Communications Crisis in America is not because of changing markets or new technology, it is the failure of public policy. The authors include economists, sociologists, journalists, lawyers and a diverse group of media and communication scholars, all offering an urgent call to action and difficult, but achievable steps forward.
This volume is a tutorial for the study of dynamical systems on networks. It discusses both methodology and models, including spreading models for social and biological contagions. The authors focus especially on “simple” situations that are analytically tractable, because they are insightful and provide useful springboards for the study of more complicated scenarios. This tutorial, which also includes key pointers to the literature, should be helpful for junior and senior undergraduate students, graduate students, and researchers from mathematics, physics, and engineering who seek to study dynamical systems on networks but who may not have prior experience with graph theory or networks. Mason A. Porter is Professor of Nonlinear and Complex Systems at the Oxford Centre for Industrial and Applied Mathematics, Mathematical Institute, University of Oxford, UK. He is also a member of the CABDyN Complexity Centre and a Tutorial Fellow of Somerville College. James P. Gleeson is Professor of Industrial and Applied Mathematics, and co-Director of MACSI, at the University of Limerick, Ireland.
Network research has recently been adopted as one of the tools of the trade in archaeology, used to study a wide range of topics: interactions between island communities, movements through urban spaces, visibility in past landscapes, material culture similarity, exchange, and much more. This Handbook is the first authoritative reference work for archaeological network research, featuring current topical trends and covering the archaeological application of network methods and theories. This is elaborately demonstrated through substantive topics and case studies drawn from a breadth of periods and cultures in world archaeology. It highlights and further develops the unique contributions made by archaeological research to network science, especially concerning the development of spatial and material culture network methods and approaches to studying long-term network change. This is the go-to resource for students and scholars wishing to explore how network science can be applied in archaeology through an up-to-date overview of the field.