We review classic results and recent progress on equilibrium analysis, dynamics, and optimal interventions in network games with both continuous and discrete strategy sets. We study strategic interactions in deterministic networks as well as networks generated from a stochastic network formation model. For the former case, we review a unifying framework for analysis based on the theory of variational inequalities. For the latter case, we highlight how knowledge of the stochastic network formation model can be used by a central planner to design interventions for large networks in a computationally efficient manner when exact network data are not available. </jats:p
We study behavior and equilibrium selection in experimental network games. We varytwo important fact...
Various social contexts can be depicted as games of strategic interactions on networks, where an ind...
This thesis focuses on developing tools and models for studying strategic interaction among agents i...
This paper studies strategic interaction in networks. We focus on games of strategic substitutes and...
We study the dynamics of a game-theoretic network formation model that yields large-scale small-worl...
This chapter studies games played on fixed networks. These games capture a wide variety of economic ...
We study the design of optimal interventions in network games, where individuals' incentives to act ...
Abstract: This paper studies a wide class of games, representing many different economic envi-ronmen...
We study a setting in which individual players choose their partners as well as a mode of behavior i...
An increasing number of man-made networked systems, such as social networks and online platforms, go...
Next-generation networks will be characterized by three key features: heterogeneity, in terms of tec...
The strategic interactions among a large number of interdependent agents are commonly modeled as net...
Abstract — This paper studies n-person simultaneous-move games with linear best response function, w...
We provide a unified variational inequality framework for the study of fundamental properties of the...
[eng] Two are the main features that define the evolution of cooperation in a game: the structure o...
We study behavior and equilibrium selection in experimental network games. We varytwo important fact...
Various social contexts can be depicted as games of strategic interactions on networks, where an ind...
This thesis focuses on developing tools and models for studying strategic interaction among agents i...
This paper studies strategic interaction in networks. We focus on games of strategic substitutes and...
We study the dynamics of a game-theoretic network formation model that yields large-scale small-worl...
This chapter studies games played on fixed networks. These games capture a wide variety of economic ...
We study the design of optimal interventions in network games, where individuals' incentives to act ...
Abstract: This paper studies a wide class of games, representing many different economic envi-ronmen...
We study a setting in which individual players choose their partners as well as a mode of behavior i...
An increasing number of man-made networked systems, such as social networks and online platforms, go...
Next-generation networks will be characterized by three key features: heterogeneity, in terms of tec...
The strategic interactions among a large number of interdependent agents are commonly modeled as net...
Abstract — This paper studies n-person simultaneous-move games with linear best response function, w...
We provide a unified variational inequality framework for the study of fundamental properties of the...
[eng] Two are the main features that define the evolution of cooperation in a game: the structure o...
We study behavior and equilibrium selection in experimental network games. We varytwo important fact...
Various social contexts can be depicted as games of strategic interactions on networks, where an ind...
This thesis focuses on developing tools and models for studying strategic interaction among agents i...