In recent years, we have observed a significant trend towards filling the gap between social
network analysis and control. This trend was enabled by the introduction of new …

This survey covers models of how agents update behaviors and beliefs using information
conveyed through social connections. We begin with sequential social learning models, in …

This work deals with the topic of information processing over graphs. The presentation is
largely self-contained and covers results that relate to the analysis and design of multi-agent …

Nature provides splendid examples of real-time learning and adaptation behavior that
emerges from highly localized interactions among agents of limited capabilities. For …

Many information structures generate correlated rather than mutually independent signals,
the news media being a prime example. This article provides experimental evidence that …

This chapter develops a unified framework for the study of how network interactions can
function as a mechanism for propagation and amplification of microeconomic shocks. The …

This paper studies the behavioral foundations of non‐Bayesian models of learning over
social networks and develops a taxonomy of conditions for information aggregation in a …

Recent years have witnessed a trend to use networked multiple autonomous agents to
accomplish complex tasks arising from space-based applications, smart grids, and machine …

We study how the structure of social media networks and the presence of fake news affects
the degree of misinformation and polarization in a society. For that, we analyze a dynamic …

In this chapter, I provide an overview of research on social networks and their role in
shaping behavior and economic outcomes. I include discussion of empirical and theoretical …