Overview
- Contains new tools for financial data mining and discusses the uncertainty of the network market analysis
- Provides network analysis to the financial crises
- Includes methods of network analysis applied to corporate governance and investment tools
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 100)
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Table of contents(14 chapters)
About this book
Using network models to investigate the interconnectivity in modern economic systems allows researchers to better understand and explain some economic phenomena. This volume presents contributions by known experts and active researchers in economic and financial network modeling. Readers are provided with an understanding of the latest advances in network analysis as applied to economics, finance, corporate governance, and investments. Moreover, recent advances in market network analysis that focus on influential techniques for market graph analysis are also examined. Young researchers will find this volume particularly useful in facilitating their introduction to this new and fascinating field. Professionals in economics, financial management, various technologies, and network analysis, will find the network models presented in this book beneficial in analyzing the interconnectivity in modern economic systems.
Reviews
From the book reviews:
“The whole book is devoted to the use of network models to investigate the interconnections in modern economic systems, hopping that this will lead to a better understanding and explaining of some economic phenomena, in particular in what concerns their financial issue. … A book dealing with a very important subject, scientifically rigorous and very well written, that is an indispensable reading for senior and beginner researchers and professionals in economics, financial management and network analysis.” (Manuel Alberto M. Ferreira, International Journal of Latest Trends in Finance and Economic Sciences, Vol. 4 (3), September, 2014)Editors and Affiliations
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Laboratory of Algorithms and Technologies for Network Analysis, National Research University, Higher School of Economics, Nizhny Novgorod, Russia
Valery A. Kalyagin
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Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA
Panos M. Pardalos
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Department of Mathematics, National Technical University of Athens, Athens, Greece
Themistocles M. Rassias
Bibliographic Information
Book Title: Network Models in Economics and Finance
Editors: Valery A. Kalyagin, Panos M. Pardalos, Themistocles M. Rassias
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-319-09683-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-09682-7Published: 07 October 2014
Softcover ISBN: 978-3-319-34603-8Published: 11 August 2016
eBook ISBN: 978-3-319-09683-4Published: 23 September 2014
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XV, 295
Number of Illustrations: 43 b/w illustrations, 27 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Macroeconomics/Monetary Economics//Financial Economics, Game Theory, Economics, Social and Behav. Sciences, Applications of Graph Theory and Complex Networks, Data Mining and Knowledge Discovery