Networks, topology and dynamics : theory and applications to economics and social systems
著者
書誌事項
Networks, topology and dynamics : theory and applications to economics and social systems
（Lecture notes in economics and mathematical systems, 613）
Springer, c2009
大学図書館所蔵 全38件
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
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.
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