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Graphs, Networks And Ace



    (AI-ECON Research Center, Department of Economics, National Chengchi University, Taipei, Taiwan 11623, ROC)

Following the standard probabilistic approach, we shall explicitly show the relation between a microscopic and a macroscopic view of an economy in the context of a discrete choice model. Two crucial issues to do with the graphical applications to the network economy are addressed. The first one concerns the representation richness of the graph, whereas the second one concerns the formation and evolution of the graph when it is applied to social networks. This study can be a starting point to see the relevance of agent-based computational economics (ACE) to the network economy, in particular, after bringing in the interaction mechanism associated with a network topology.

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Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal New Mathematics and Natural Computation.

Volume (Year): 02 (2006)
Issue (Month): 03 ()
Pages: 299-314

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Handle: RePEc:wsi:nmncxx:v:02:y:2006:i:03:p:299-314
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