Economic Modeling In Networking

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Economic Modeling in Networking

Author : Randall A. Berry
Publisher :
ISBN 13 : 9781601986542
Total Pages : 136 pages
Book Rating : 4.9/5 (865 download)

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Book Synopsis Economic Modeling in Networking by : Randall A. Berry

Download or read book Economic Modeling in Networking written by Randall A. Berry and published by . This book was released on 2013-03-06 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, engineers have been increasingly called upon to have basic skills in economic modeling and game theory at their disposal for two related reasons. First, the economics of networks has a significant effect on the adoption and creation of network innovations, and second, and perhaps more importantly, engineered networks serve as the platform for many of our basic economic interactions today. This monograph aims to provide engineering students who have a basic training in economic modeling and game theory an understanding of where and when game theoretic models are employed, the assumptions underpinning key models, and conceptual insights that are broadly applicable.

Network Theory and Agent-Based Modeling in Economics and Finance

Author : Anindya S. Chakrabarti
Publisher : Springer Nature
ISBN 13 : 9811383197
Total Pages : 454 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Network Theory and Agent-Based Modeling in Economics and Finance by : Anindya S. Chakrabarti

Download or read book Network Theory and Agent-Based Modeling in Economics and Finance written by Anindya S. Chakrabarti and published by Springer Nature. This book was released on 2019-10-23 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.

Social and Economic Networks

Author : Matthew O. Jackson
Publisher : Princeton University Press
ISBN 13 : 140083399X
Total Pages : 519 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Social and Economic Networks by : Matthew O. Jackson

Download or read book Social and Economic Networks written by Matthew O. Jackson and published by Princeton University Press. This book was released on 2010-11-01 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networks of relationships help determine the careers that people choose, the jobs they obtain, the products they buy, and how they vote. The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks. Each chapter includes exercises to aid students in their analysis of how networks function. This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business.

Economic Modeling Using Artificial Intelligence Methods

Author : Tshilidzi Marwala
Publisher : Springer Science & Business Media
ISBN 13 : 1447150104
Total Pages : 271 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Economic Modeling Using Artificial Intelligence Methods by : Tshilidzi Marwala

Download or read book Economic Modeling Using Artificial Intelligence Methods written by Tshilidzi Marwala and published by Springer Science & Business Media. This book was released on 2013-04-02 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace – and vice versa – is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.

The Oxford Handbook of the Economics of Networks

Author : Yann Bramoullé
Publisher : Oxford University Press
ISBN 13 : 0190216832
Total Pages : 857 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis The Oxford Handbook of the Economics of Networks by : Yann Bramoullé

Download or read book The Oxford Handbook of the Economics of Networks written by Yann Bramoullé and published by Oxford University Press. This book was released on 2016-03-01 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of the Economics of Networks represents the frontier of research into how and why networks they form, how they influence behavior, how they help govern outcomes in an interactive world, and how they shape collective decision making, opinion formation, and diffusion dynamics. From a methodological perspective, the contributors to this volume devote attention to theory, field experiments, laboratory experiments, and econometrics. Theoretical work in network formation, games played on networks, repeated games, and the interaction between linking and behavior is synthesized. A number of chapters are devoted to studying social process mediated by networks. Topics here include opinion formation, diffusion of information and disease, and learning. There are also chapters devoted to financial contagion and systemic risk, motivated in part by the recent financial crises. Another section discusses communities, with applications including social trust, favor exchange, and social collateral; the importance of communities for migration patterns; and the role that networks and communities play in the labor market. A prominent role of networks, from an economic perspective, is that they mediate trade. Several chapters cover bilateral trade in networks, strategic intermediation, and the role of networks in international trade. Contributions discuss as well the role of networks for organizations. On the one hand, one chapter discusses the role of networks for the performance of organizations, while two other chapters discuss managing networks of consumers and pricing in the presence of network-based spillovers. Finally, the authors discuss the internet as a network with attention to the issue of net neutrality.

Nonlinear Economic Models

Author : John Creedy
Publisher : Edward Elgar Publishing
ISBN 13 :
Total Pages : 312 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Nonlinear Economic Models by : John Creedy

Download or read book Nonlinear Economic Models written by John Creedy and published by Edward Elgar Publishing. This book was released on 1997 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: A sequel to Creedy and Martin's (eds.) Chaos and Nonlinear Models (1994). Compiles recent developments in such techniques as cross- sectional studies of income distribution and discrete choice models, time series models of exchange rate dynamics and jump processes, and artificial neural networks and genetic algorithms of financial markets. Also considers the development of theoretical models and estimating and testing methods, with a wide range of applications in microeconomics, macroeconomics, labor, and finance. Annotation copyrighted by Book News, Inc., Portland, OR

Feedback Economics

Author : Robert Y. Cavana
Publisher : Springer Nature
ISBN 13 : 3030671909
Total Pages : 593 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Feedback Economics by : Robert Y. Cavana

Download or read book Feedback Economics written by Robert Y. Cavana and published by Springer Nature. This book was released on 2021-06-30 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book approaches economic problems from a systems thinking and feedback perspective. By introducing system dynamics methods (including qualitative and quantitative techniques) and computer simulation models, the respective contributions apply feedback analysis and dynamic simulation modeling to important local, national, and global economics issues and concerns. Topics covered include: an introduction to macro modeling using a system dynamics framework; a system dynamics translation of the Phillips machine; a re-examination of classical economic theories from a feedback perspective; analyses of important social, ecological, and resource issues; the development of a biophysical economics module for global modelling; contributions to monetary and financial economics; analyses of macroeconomic growth, income distribution and alternative theories of well-being; and a re-examination of scenario macro modeling. The contributions also examine the philosophical differences between the economics and system dynamics communities in an effort to bridge existing gaps and compare methods. Many models and other supporting information are provided as online supplementary files. Consequently, the book appeals to students and scholars in economics, as well as to practitioners and policy analysts interested in using systems thinking and system dynamics modeling to understand and improve economic systems around the world. "Clearly, there is much space for more collaboration between the advocates of post-Keynesian economics and system dynamics! More generally, I would like to recommend this book to all scholars and practitioners interested in exploring the interface and synergies between economics, system dynamics, and feedback thinking." Comments in the Foreword by Marc Lavoie, Emeritus Professor, University of Ottawa and University of Sorbonne Paris Nord

Network Economics

Author : Anna Nagurney
Publisher : Springer Science & Business Media
ISBN 13 : 1475730055
Total Pages : 423 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Network Economics by : Anna Nagurney

Download or read book Network Economics written by Anna Nagurney and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of the first edition of Network Economics: A Variational Inequality Approach in 1993, there have been many ad vances in both methodological developments, as well as, applications in this field. These have occurred in an environment of an increasingly networked global economy, in which the importance of transportation networks and communication networks is now well-recognized, with net works such as knowledge networks, environmental networks, and finan cial networks receiving growing attention. This edition adds recent research progress in new and evolving ar eas of network economics through common and unifying principles. In addition, it includes dynamic models of traffic, of spatially separated markets, of oligopolistic markets, and of financial markets. In order to expand the range and reach of this material, we have also included a series of problems in an appendix for self-study purposes and for use in the classroom. We note that computational economics has been at the forefront in stimulating the development of mathematical methodologies for the analysis and solution of complex, large-scale problems. The past fifteen years, in particular, have witnessed a dramatic growth of interest in this area. Supported by the increasing availability of data and by advances in computer architectures, the scale and dimensions of problems that can now be handled are unveiling new horizons in both theoretical modeling and policy analysis.

Economic Modeling in Networking

Author : Randall Alexander Berry
Publisher :
ISBN 13 : 9781601986559
Total Pages : 121 pages
Book Rating : 4.9/5 (865 download)

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Book Synopsis Economic Modeling in Networking by : Randall Alexander Berry

Download or read book Economic Modeling in Networking written by Randall Alexander Berry and published by . This book was released on 2013 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, engineers have been increasingly called upon to have basic skills in economic modeling and game theory at their disposal for two related reasons. First, the economics of networks has a significant effect on the adoption and creation of network innovations, and second, and perhaps more importantly, engineered networks serve as the platform for many of our basic economic interactions today. This monograph aims to provide engineering students who have a basic training in economic modeling and game theory an understanding of where and when game theoretic models are employed, the assumptions underpinning key models, and conceptual insights that are broadly applicable.

Decision Modelling for Health Economic Evaluation

Author : Andrew Briggs
Publisher : OUP Oxford
ISBN 13 : 0191004952
Total Pages : 269 pages
Book Rating : 4.1/5 (91 download)

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Book Synopsis Decision Modelling for Health Economic Evaluation by : Andrew Briggs

Download or read book Decision Modelling for Health Economic Evaluation written by Andrew Briggs and published by OUP Oxford. This book was released on 2006-08-17 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: In financially constrained health systems across the world, increasing emphasis is being placed on the ability to demonstrate that health care interventions are not only effective, but also cost-effective. This book deals with decision modelling techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals. Particular emphasis is placed on the importance of the appropriate representation of uncertainty in the evaluative process and the implication this uncertainty has for decision making and the need for future research. This highly practical guide takes the reader through the key principles and approaches of modelling techniques. It begins with the basics of constructing different forms of the model, the population of the model with input parameter estimates, analysis of the results, and progression to the holistic view of models as a valuable tool for informing future research exercises. Case studies and exercises are supported with online templates and solutions. This book will help analysts understand the contribution of decision-analytic modelling to the evaluation of health care programmes. ABOUT THE SERIES: Economic evaluation of health interventions is a growing specialist field, and this series of practical handbooks will tackle, in-depth, topics superficially addressed in more general health economics books. Each volume will include illustrative material, case histories and worked examples to encourage the reader to apply the methods discussed, with supporting material provided online. This series is aimed at health economists in academia, the pharmaceutical industry and the health sector, those on advanced health economics courses, and health researchers in associated fields.

Internet Economics: Models, Mechanisms and Management

Author : Hans W. Gottinger
Publisher : Bentham Science Publishers
ISBN 13 : 1681085461
Total Pages : 222 pages
Book Rating : 4.6/5 (81 download)

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Book Synopsis Internet Economics: Models, Mechanisms and Management by : Hans W. Gottinger

Download or read book Internet Economics: Models, Mechanisms and Management written by Hans W. Gottinger and published by Bentham Science Publishers. This book was released on 2017-08-28 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The internet represents a rapidly evolving set of technologies which is central to the development of a modern economy. Internet Economics: Models, Mechanisms and Management integrates knowledge about internet service design with economic modelling principles (pricing, cost and service models). Chapters highlight specific applications of the internet such as service provisioning, cloud computing, commerce, business security, network externalities, social media and more recent developments such as the Internet of Things (IoT), the industrial internet, data analytics and the use of big data to bring value to commercial ventures. Therefore, readers will have a conceptual and practical framework for understanding the economics of internet infrastructure and service delivery.

Network Models and Optimization

Author : Mitsuo Gen
Publisher : Springer Science & Business Media
ISBN 13 : 1848001819
Total Pages : 692 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Network Models and Optimization by : Mitsuo Gen

Download or read book Network Models and Optimization written by Mitsuo Gen and published by Springer Science & Business Media. This book was released on 2008-07-10 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network models are critical tools in business, management, science and industry. “Network Models and Optimization” presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. The book extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, traveling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. The book can be used both as a student textbook and as a professional reference for practitioners who use network optimization methods to model and solve problems.

The Wealth of Networks

Author : Yochai Benkler
Publisher : Yale University Press
ISBN 13 : 9780300125771
Total Pages : 532 pages
Book Rating : 4.1/5 (257 download)

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Book Synopsis The Wealth of Networks by : Yochai Benkler

Download or read book The Wealth of Networks written by Yochai Benkler and published by Yale University Press. This book was released on 2006-01-01 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes how patterns of information, knowledge, and cultural production are changing. The author shows that the way information and knowledge are made available can either limit or enlarge the ways people create and express themselves. He describes the range of legal and policy choices that confront.

Modeling Complexity In Economic And Social Systems

Author : Frank Schweitzer
Publisher : World Scientific
ISBN 13 : 9814488356
Total Pages : 404 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Modeling Complexity In Economic And Social Systems by : Frank Schweitzer

Download or read book Modeling Complexity In Economic And Social Systems written by Frank Schweitzer and published by World Scientific. This book was released on 2002-12-09 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economics and the social sciences are, in fact, the “hard” sciences, as Herbert Simon argued, because the complexity of the problems dealt with cannot simply be reduced to analytically solvable models or decomposed into separate subprocesses. Nevertheless, in recent years, the emerging interdisciplinary “sciences of complexity” have provided new methods and tools for tackling these problems, ranging from complex data analysis to sophisticated computer simulations. In particular, advanced methods developed in the natural sciences have recently also been applied to social and economic problems.The twenty-one chapters of this book reflect this modern development from various modeling perspectives (such as agent-based models, evolutionary game theory, reinforcement learning and neural network techniques, time series analysis, non-equilibrium macroscopic dynamics) and for a broad range of socio-economic applications (market dynamics, technological evolution, spatial dynamics and economic growth, decision processes, and agent societies). They jointly demonstrate a shift of perspective in economics and the social sciences that is allowing a new outlook in this field to emerge.

Data Science for Economics and Finance

Author : Sergio Consoli
Publisher : Springer Nature
ISBN 13 : 3030668916
Total Pages : 357 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Data Science for Economics and Finance by : Sergio Consoli

Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

Networks, Topology and Dynamics

Author : Ahmad K. Naimzada
Publisher : Springer Science & Business Media
ISBN 13 : 3540684093
Total Pages : 292 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Networks, Topology and Dynamics by : Ahmad K. Naimzada

Download or read book Networks, Topology and Dynamics written by Ahmad K. Naimzada and published by Springer Science & Business Media. This book was released on 2008-11-14 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is convergent consensus among scientists that many social, economic and ?nancial phenomena can be described by a network of agents and their inter- tions. Surprisingly, even though the application ?elds are quite different, those n- works often show a common behaviour. Thus, their topological properties can give useful insights on how the network is structured, which are the most “important” nodes/agents, how the network reacts to new arrivals. Moreover the network, once included into a dynamic context, helps to model many phenomena. Among the t- ics in which topology and dynamics are the essential tools, we will focus on the diffusion of technologies and fads, the rise of industrial districts, the evolution of ?nancial markets, cooperation and competition, information ?ows, centrality and prestige. The volume, including recent contributions to the ?eld of network modelling, is based on the communications presented at NET 2006 (Verbania, Italy) and NET 2007 (Urbino, Italy); offers a wide range of recent advances, both theoretical and methodological, that will interest academics as well as practitioners. Theory and applications are nicely integrated: theoretical papers deal with graph theory, game theory, coalitions, dynamics, consumer behavior, segregation models and new contributions to the above mentioned area. The applications cover a wide range: airline transportation, ?nancial markets, work team organization, labour and credit market.

Modeling and Tools for Network Simulation

Author : Klaus Wehrle
Publisher : Springer Science & Business Media
ISBN 13 : 3642123317
Total Pages : 547 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Modeling and Tools for Network Simulation by : Klaus Wehrle

Download or read book Modeling and Tools for Network Simulation written by Klaus Wehrle and published by Springer Science & Business Media. This book was released on 2010-09-22 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: A crucial step during the design and engineering of communication systems is the estimation of their performance and behavior; especially for mathematically complex or highly dynamic systems network simulation is particularly useful. This book focuses on tools, modeling principles and state-of-the art models for discrete-event based network simulations, the standard method applied today in academia and industry for performance evaluation of new network designs and architectures. The focus of the tools part is on two distinct simulations engines: OmNet++ and ns-3, while it also deals with issues like parallelization, software integration and hardware simulations. The parts dealing with modeling and models for network simulations are split into a wireless section and a section dealing with higher layers. The wireless section covers all essential modeling principles for dealing with physical layer, link layer and wireless channel behavior. In addition, detailed models for prominent wireless systems like IEEE 802.11 and IEEE 802.16 are presented. In the part on higher layers, classical modeling approaches for the network layer, the transport layer and the application layer are presented in addition to modeling approaches for peer-to-peer networks and topologies of networks. The modeling parts are accompanied with catalogues of model implementations for a large set of different simulation engines. The book is aimed at master students and PhD students of computer science and electrical engineering as well as at researchers and practitioners from academia and industry that are dealing with network simulation at any layer of the protocol stack.