This paper considers models and algorithms for interactive sensing in social networks in
which individuals act as sensors and the information exchange between individuals is …

This paper surveys mathematical models, structural results and algorithms in controlled
sensing with social learning in social networks. Part 1, namely Bayesian Social Learning …

We study the computations that Bayesian agents undertake when exchanging opinions over
a network. The agents act repeatedly on their private information and take myopic actions …

Non-Bayesian social learning theory provides a framework that models distributed inference
for a group of agents interacting over a network. Agents iteratively form and communicate …

The proliferation of social media such as real time microblogging and online reputation
systems facilitate real time sensing of social patterns and behavior. In the last decade …

A repeated network game where agents have quadratic utilities that depend on information
externalities—an unknown underlying state—as well as payoff externalities—the actions of …

We investigate a simple model for social learning with two agents: a teacher and a student.
The teacher's goal is to teach the student the state of the world; however, the teacher himself …

We consider a multihypothesis social learning problem in which an agent has access to a
set of private observations and chooses an opinion from a set of experts to incorporate into …

Social capital theory assumes that information is valuable. However, only rarely is this value
explicitly modeled, and there are few examples of empirical tests of mechanisms that …

This paper studies the problem of distributed classification with a network of heterogeneous
agents. The agents seek to jointly identify the underlying target class that best describes a …