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Atlas of Forecasts
Forecasting the future with advanced data models and visualizations. To envision and create the futures we want, society needs an appropriate understanding of the likely impact of alternative actions. Data models and visualizations offer a way to understand and intelligently manage complex, interlinked systems in science and technology, education, and policymaking. Atlas of Forecasts, from the creator of Atlas of Science and Atlas of Knowledge, shows how we can use data to predict, communicate, and ultimately attain desirable futures. Using advanced data visualizations to introduce different types of computational models, Atlas of Forecasts demonstrates how models can inform effective decision-making in education, science, technology, and policymaking. The models and maps presented aim to help anyone understand key processes and outcomes of complex systems dynamics, including which human skills are needed in an artificial intelligence-empowered economy; what progress in science and technology is likely to be made; and how policymakers can future-proof regions or nations. This Atlas offers a driver's seat-perspective for a test-drive of the future.
Le cinque leggi bronzee dell’era digitale. E perché conviene trasgredirle
Goethe e Leopardi introducono a una originale lettura della cultura digitale. Una propaganda interessata parla ai cittadini di radicale rottura con il passato. Eppure, questa stagione, in cui si celebrano i fasti di macchine e delle loro estreme incarnazioni – le Intelligenze Artificiali –, non è che l’ultima manifestazione dell’Illuminismo. Il mito del Progresso si conclude nel progettare macchine destinate a prendere il posto di noi esseri umani. Guru del nuovo tempo insistono nel ricordare ai cittadini la loro ignoranza, e quindi la loro incapacità di capire. L’innovazione è presentata come fatale manifestazione di Leggi di Natura, di fronte alle quali lo spazio per il libero...
Evolution and Structure of the Internet
Viewed in this analysis from a statistical physics perspective, the Internet is perceived as a developing system that evolves through the addition and removal of nodes and links. This perspective permits the authors to outline the dynamical theory that can appropriately describe the Internet's macroscopic evolution. The presence of such a theoretical framework will provide a revolutionary way of enhancing the reader's understanding of the Internet's varied network processes.
Dynamical Processes on Complex Networks
The availability of large data sets have allowed researchers to uncover complex properties such as large scale fluctuations and heterogeneities in many networks which have lead to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. For example, a vast number of everyday systems, from the brain to ecosystems, power grids and the Internet, can be represented as large complex networks. This new and recent account presents a comprehensive explanation of these effects.
Visual Insights
A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations. In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data available on every subject. This book offers a gentle introduction to the design of insightful information visualizations. It is the only book on the subject that teaches nonprogrammers how to use open code and open data to design insightful visualizations. Readers will learn to apply advanced data mining and visualization techniques to make sense of temporal, geospatial, topical, and net...
Models of Science Dynamics
Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research. In order to capture the essence of phenomena as diverse as the structure of co-authorship networks or the evolution of citation diffusion patterns, such models can be represented by conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, or computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive study of the topic. This volume fill...
Cosmos 2011
The study of complex systems is growing rapidly and modelling and simulation tools are an important part of the process.This volume brings together work from a multidisciplinary group of scientists, who are studying a variety of techniques and applications for modelling and simulating complex systems.Building on the success of previous CoSMoS workshops, the work presented covers a range of modelling, simulation and visualisation techniques applied to investigate both biological and socio-technical systems.
The Digital Difference
The Digital Difference examines how the transition from the industrial-era media of one-way publishing and broadcasting to the two-way digital era of online search and social media has affected the dynamics of public life. In the digital age, fundamental beliefs about privacy and identity are subject to change, as is the formal legal basis of freedom of expression. Will it be possible to maintain a vibrant and open marketplace of ideas? In W. Russell Neuman’s analysis, the marketplace metaphor does not signal that money buys influence, but rather just the opposite—that the digital commons must be open to all ideas so that the most powerful ideas win public attention on their merits rather than on the taken-for-granted authority of their authorship. “Well-documented, methodical, provocative, and clear, The Digital Difference deserves a prominent place in communication proseminars and graduate courses in research methods because of its reorientation of media effects research and its application to media policy making.” —John P. Ferré, Journalism and Mass Communication Quarterly
Spatial Dependence and Data-Driven Networks of International Banks
This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to select the significant bilateral correlations. The analysis of topological characteristics of the resulting correlation networks shows many common features that have been documented in the recent literature but were obtained with private information on banks' exposures, including rich and hierarchical structures, based on but not limited to geographical proximity, small world features, regional homophily, and a core-periphery structure.
Network Analysis Literacy
This book presents a perspective of network analysis as a tool to find and quantify significant structures in the interaction patterns between different types of entities. Moreover, network analysis provides the basic means to relate these structures to properties of the entities. It has proven itself to be useful for the analysis of biological and social networks, but also for networks describing complex systems in economy, psychology, geography, and various other fields. Today, network analysis packages in the open-source platform R and other open-source software projects enable scientists from all fields to quickly apply network analytic methods to their data sets. Altogether, these appli...
