Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/23982
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dc.contributor.editorChakrabarti, Anindya S.
dc.contributor.editorPichl, Lukas
dc.contributor.editorKaizoji, Taisei
dc.date.accessioned2021-06-01T06:57:36Z
dc.date.available2021-06-01T06:57:36Z
dc.date.issued2019
dc.identifier.citationPichl, L., Kaizoji , T., & Chakrabarrty, A. S. (2019). Network Theory and Agent-Based Modeling in Economics and Finance. Singapore: Springer.en_US
dc.identifier.isbn9789811383182
dc.identifier.urihttp://hdl.handle.net/11718/23982
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.subjectEconomics - Data processingen_US
dc.subjectSystem analysisen_US
dc.subjectNetwork gamesen_US
dc.titleNetwork theory and agent-based modeling in economics and financeen_US
dc.typeBooken_US
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