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Networks, Topology and Dynamics [electronic resource] : Theory and Applications to Economics and Social Systems / edited by Ahmad K. Naimzada, Silvana Stefani, Anna Torriero.

Contributor(s): Series: Lecture Notes in Economics and Mathematical Systems ; 613Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009Description: VIII, 292 p. 104 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540684091
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 330.1 23
LOC classification:
  • HB1-846.8
Online resources:
Contents:
Tutorials -- Some Topics in Graph Theory -- From Graph Theory to Models of Economic Networks. A Tutorial -- Strategic Interaction, Economic Models and Networks -- Games of Coalition and Network Formation: A Survey -- Network Formation with Closeness Incentives -- A Dynamic Model of Segregation in Small-World Networks -- Interdependent Preferences -- Co-Evolutive Models for Firms Dynamics -- Markov Chains and Topology -- Betweenness Centrality: Extremal Values and Structural Properties -- How to Reduce Unnecessary Noise in Targeted Networks -- The Dynamic Behaviour of Non-Homogeneous Single-Unireducible Markov and Semi-Markov Chains -- Applications -- Shareholding Networks and Centrality: An Application to the Italian Financial Market -- Network Dynamics when Selecting Work Team Members -- Empirical Analysis of the Architecture of the Interbank Market and Credit Market Using Network Theory -- Network Measures in Civil Air Transport: A Case Study of Lufthansa -- On Certain Graph Theory Applications.
In: Springer eBooksSummary: The volume, devoted to recent contributions to the field of networks modelling, offers a wide panorama of recent advances, both theoretical and methodological, that will interest academics as well as practitioners. Theory and applications are nicely integrated: theoretical papers are in graph theory, game theory, coalitions, dynamics, consumer behaviour, segregation models and new contributions to the area are offered. The applications cover a wide range: airline transportation, financial markets, work team organization, labour and credit market. The volume can be used as a reference book for graduate and postgraduate courses on network theory and complex systems in faculties of economics, mathematics, engineering or social sciences.
Item type: eBooks
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Tutorials -- Some Topics in Graph Theory -- From Graph Theory to Models of Economic Networks. A Tutorial -- Strategic Interaction, Economic Models and Networks -- Games of Coalition and Network Formation: A Survey -- Network Formation with Closeness Incentives -- A Dynamic Model of Segregation in Small-World Networks -- Interdependent Preferences -- Co-Evolutive Models for Firms Dynamics -- Markov Chains and Topology -- Betweenness Centrality: Extremal Values and Structural Properties -- How to Reduce Unnecessary Noise in Targeted Networks -- The Dynamic Behaviour of Non-Homogeneous Single-Unireducible Markov and Semi-Markov Chains -- Applications -- Shareholding Networks and Centrality: An Application to the Italian Financial Market -- Network Dynamics when Selecting Work Team Members -- Empirical Analysis of the Architecture of the Interbank Market and Credit Market Using Network Theory -- Network Measures in Civil Air Transport: A Case Study of Lufthansa -- On Certain Graph Theory Applications.

The volume, devoted to recent contributions to the field of networks modelling, offers a wide panorama of recent advances, both theoretical and methodological, that will interest academics as well as practitioners. Theory and applications are nicely integrated: theoretical papers are in graph theory, game theory, coalitions, dynamics, consumer behaviour, segregation models and new contributions to the area are offered. The applications cover a wide range: airline transportation, financial markets, work team organization, labour and credit market. The volume can be used as a reference book for graduate and postgraduate courses on network theory and complex systems in faculties of economics, mathematics, engineering or social sciences.

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