This paper proposes a tractable model that allows us to analyze how agents' perception of relationships with others determines the structures of networks. In our model, agents are endowed with their own multidimensional characteristics and their payoffs depend on the social distance between...

We describe a model of networks that is both useful as a descriptive model for how interpersonal networks form, and as a tool for agent-based simulations that require artificially generated networks. It uses a latent space technique, but simplifies the standard computation using a principal...