Game theory on networks

Game theory on networks is a field that studies strategy in competing interest interactions among rational or adaptive players that are affected by the topology of networks. Players' interactions are modeled by a network (a graph with nodes for each player, plus additional data). This contains concepts from game theory, nonlinear dynamics, and graph theory to analyze behavioral player-player phenomena like cooperation, and collective behavior as well as competition and percolation in networked systems.

This field has applications in areas such as economics, computer science, biology, and engineering, where players (nodes) interact through network connections (edges) instead of fully homogeneously mixed populations.

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