Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/81086
Authors: 
Hellmann, Tim
Staudigl, Mathias
Year of Publication: 
2012
Series/Report no.: 
Working Papers, Institute of Mathematical Economics 470
Abstract: 
Modeling the evolution of networks is central to our understanding of modern large communication systems, such as theWorld-Wide-Web, as well as economic and social networks. The research on social and economic networks is truly interdisciplinary and the number of modeling strategies and concepts is enormous. In this survey we present some modeling approaches, covering classical random graph models and game-theoretic models, which may be used to provide a unified framework to model and analyze the evolution of networks.
JEL: 
C73
D83
D85
Document Type: 
Working Paper

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