Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
The effects of network topology on strategic behavior
The effects of network topology on strategic behavior
Optimal marketing strategies over social networks
Proceedings of the 17th international conference on World Wide Web
Balanced outcomes in social exchange networks
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Strategic network formation with structural holes
Proceedings of the 9th ACM conference on Electronic commerce
Game Theoretic Problems in Network Economics and Mechanism Design Solutions
Game Theoretic Problems in Network Economics and Mechanism Design Solutions
Social and Economic Networks
Truthful and Quality Conscious Query Incentive Networks
WINE '09 Proceedings of the 5th International Workshop on Internet and Network Economics
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
A game-theoretic framework to identify overlapping communities in social networks
Data Mining and Knowledge Discovery
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The existing methods and techniques for social network analysis are inadequate to capture both the behavior (such as rationality and intelligence) of individuals and the strategic interactions that occur among these individuals. Game theory is a natural tool to overcome this inadequacy since it provides rigorous mathematical models of strategic interaction among autonomous, intelligent, and rational agents. Motivated by the above observation, this tutorial provides the conceptual underpinnings of the use of game theoretic models in social network analysis. In the first part of the tutorial, we provide rigorous foundations of relevant concepts in game theory and social network analysis. In the second part of the tutorial, we present a comprehensive study of four contemporary and pertinent problems in social networks: social network formation, determining in influential individuals for viral marketing, query incentive networks, and community detection.