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Author: Bojan Aleksov Publisher: Central European University Press ISBN: 9633863368 Category : History Languages : en Pages : 236
Book Description
The region between the Baltic and the Black Sea was marked by a set of crises and conflicts in the 1920s and 1930s, demonstrating the diplomatic, military, economic or cultural engagement of France, Germany, Russia, Britain, Italy and Japan in this highly volatile region, and critically damaging the fragile post-Versailles political arrangement. The editors, in naming this region as "Middle Europe" seek to revive the symbolic geography of the time and accentuate its position, situated between Big Powers and two World Wars. The ten case studies in this book combine traditional diplomatic history with a broader emphasis on the geopolitical aspects of Big-Power rivalry to understand the interwar period. The essays claim that the European Big Powers played a key role in regional affairs by keeping the local conflicts and national movements under control and by exploiting the region's natural resources and military dependencies, while at the same time strengthening their prestige through cultural penetration and the cultivation of client networks. The authors, however, want to avoid the simplistic view that the Big Powers fully dominated the lesser players on the European stage. The relationship was indeed hierarchical, but the essays also reveal how the "small states" manipulated Big-Power disagreements, highlighting the limits of the latters' leverage throughout the 1920s and the 1930s.
Author: Bojan Aleksov Publisher: Central European University Press ISBN: 9633863368 Category : History Languages : en Pages : 236
Book Description
The region between the Baltic and the Black Sea was marked by a set of crises and conflicts in the 1920s and 1930s, demonstrating the diplomatic, military, economic or cultural engagement of France, Germany, Russia, Britain, Italy and Japan in this highly volatile region, and critically damaging the fragile post-Versailles political arrangement. The editors, in naming this region as "Middle Europe" seek to revive the symbolic geography of the time and accentuate its position, situated between Big Powers and two World Wars. The ten case studies in this book combine traditional diplomatic history with a broader emphasis on the geopolitical aspects of Big-Power rivalry to understand the interwar period. The essays claim that the European Big Powers played a key role in regional affairs by keeping the local conflicts and national movements under control and by exploiting the region's natural resources and military dependencies, while at the same time strengthening their prestige through cultural penetration and the cultivation of client networks. The authors, however, want to avoid the simplistic view that the Big Powers fully dominated the lesser players on the European stage. The relationship was indeed hierarchical, but the essays also reveal how the "small states" manipulated Big-Power disagreements, highlighting the limits of the latters' leverage throughout the 1920s and the 1930s.
Author: Nasrullah Memon Publisher: Springer Science & Business Media ISBN: 3709102944 Category : Computers Languages : en Pages : 437
Book Description
Important aspects of social networking analysis are covered in this work by combining experimental and theoretical research. A specific focus is devoted to emerging trends and the industry needs associated with utilizing data mining techniques. Some of the techniques covered include data mining advances in the discovery and analysis of communities, in the personalization of solitary activities (like searches) and social activities (like discovering potential friends), in the analysis of user behavior in open fora (like conventional sites, blogs and fora) and in commercial platforms (like e-auctions), and in the associated security and privacy-preservation challenges; as well as social network modeling, scalable, customizable social network infrastructure construction, and the identification and discovery of dynamic growth and evolution patterns using machine learning approaches or multi-agent based simulation. These topics will be of interest to practitioners and researchers alike in this dynamic and growing field.
Author: Alice Franck Publisher: Berghahn Books ISBN: 1800730594 Category : Social Science Languages : en Pages : 368
Book Description
Focusing on Greater Khartoum following South Sudanese independence in 2011, In-Betweenness in Greater Khartoum explores the impact on society of major political events in areas that are neither urban nor rural, public nor private. This volume uses these in-between spaces as a lens to analyze how these events, in combination with other processes, such as globalization and economic neo-liberalization, impact communities across the region. Drawing on original fieldwork and empirical data, the authors uncover the reshaping of new categories of people that reinforce old dichotomies and in doing so underscore a common Sudanese identity.
Author: Bernadette Bouchon-Meunier Publisher: World Scientific ISBN: 9814500089 Category : Computers Languages : en Pages : 508
Book Description
Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning. This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field. Contents:Fuzzy Logic and Genetic AlgorithmsLearningFuzzy and Hybrid SystemsDecision and Aggregation TechniquesFuzzy Logic in DatabasesFoundations of Fuzzy LogicApplications of Fuzzy Sets Readership: Researchers and computer scientists. keywords:
Author: Prabhanjan Tattar Publisher: Packt Publishing Ltd ISBN: 178712326X Category : Computers Languages : en Pages : 428
Book Description
Over 85 recipes to help you complete real-world data science projects in R and Python About This Book Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data Get beyond the theory and implement real-world projects in data science using R and Python Easy-to-follow recipes will help you understand and implement the numerical computing concepts Who This Book Is For If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of real-world data science projects and the programming examples in R and Python. What You Will Learn Learn and understand the installation procedure and environment required for R and Python on various platforms Prepare data for analysis by implement various data science concepts such as acquisition, cleaning and munging through R and Python Build a predictive model and an exploratory model Analyze the results of your model and create reports on the acquired data Build various tree-based methods and Build random forest In Detail As increasing amounts of data are generated each year, the need to analyze and create value out of it is more important than ever. Companies that know what to do with their data and how to do it well will have a competitive advantage over companies that don't. Because of this, there will be an increasing demand for people that possess both the analytical and technical abilities to extract valuable insights from data and create valuable solutions that put those insights to use. Starting with the basics, this book covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis—R and Python. Style and approach This step-by-step guide to data science is full of hands-on examples of real-world data science tasks. Each recipe focuses on a particular task involved in the data science pipeline, ranging from readying the dataset to analytics and visualization
Author: Sanguthevar Rajasekaran Publisher: CRC Press ISBN: 1420011294 Category : Computers Languages : en Pages : 1224
Book Description
The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
Author: Sean F. Everton Publisher: Cambridge University Press ISBN: 1107022592 Category : Computers Languages : en Pages : 489
Book Description
Sean F. Everton focuses on how social network analysis can be used to craft strategies to track, destabilize, and disrupt covert, illegal networks. He illustrates these methods through worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek, and ORA), using standard network data sets as well as data from an actual terrorist network to serve as a running example throughout the book.
Author: Peter J. Carrington Publisher: Cambridge University Press ISBN: 9781139443432 Category : Social Science Languages : en Pages : 354
Book Description
Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.
Author: Ulrik Brandes Publisher: Springer ISBN: 3540319557 Category : Computers Languages : en Pages : 472
Book Description
‘Network’ is a heavily overloaded term, so that ‘network analysis’ means different things to different people. Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From a computer science perspective, network analysis is applied graph theory. Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks. In 15 coherent chapters, this monograph-like tutorial book introduces and surveys the concepts and methods that drive network analysis, and is thus the first book to do so from a methodological perspective independent of specific application areas.
Author: Matthias Dehmer Publisher: CRC Press ISBN: 1466584521 Category : Computers Languages : en Pages : 528
Book Description
The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications presents and demonstrates existing and novel methods for analyzing graphs quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical technique
Author: Bojan Aleksov
Author: Bojan Aleksov
Author: Nasrullah Memon
Author: Alice Franck
Author: Bernadette Bouchon-Meunier
Author: Prabhanjan Tattar
Author: Sanguthevar Rajasekaran
Author: Sean F. Everton
Author: Peter J. Carrington
Author: Ulrik Brandes
Author: Matthias Dehmer