This chapter examines the role of game theory in understanding social interactions within complex networks. Concepts like Nash equilibrium and Pareto optimality are introduced, showing their relevance in network-based games. This chapter also covers evolutionary game theory, emphasizing how strategies evolve and stabilize through interactions. Key case studies illustrate how reputation systems and cooperation dynamics emerge in social networks. The use of game theory provides insights into competitive and cooperative behaviors among networked individuals.