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.