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Game theory is a multi-agent decision theory, which provides a mathematical theory tool to study the complex interactions between interdependent rational players and predict strategic choices. Applying game theory in the context of networks provides insights into distributed systems in general. 

Game theoretic models can help us understand and evaluate the performance of complex networked systems that cannot be completely modeled using traditional optimization tools. It helps analyze and address the performance of networks. In communication systems, e.g. wireless networks, vehicular communications, etc., game theory aids in understanding congestion analysis, resource management, and network design as well as providing strategic decisions for network security and resilience. It plays a crucial role in transportation networks, helping determine traffic equilibrium and strategic behavior. In social networks, game theory aids in studying the spread of information and influence and assists in understanding multi-agent games that arise in contexts such as diplomacy.  Game theory also furthers our understanding of the economics of networks, including the study of spectrum auctions, network pricing as well as the study of e-commerce markets. Game theory provides a rich set of techniques including strategic games, cooperative games, collusion strategies and collusion detection, mechanism design, price of anarchy, and computation and analysis of equilibrium.

Given the importance of the study of game theory in the context of networks, this conference aims to provide a venue to exchange recent advances in this topic. We look for original and unpublished research works that advance fundamental theories, provide techniques, or address applications of game theory for solving challenging problems in networks.