Some phenomena are characterized by a non-trivial network dynamics exhibiting self-organized criticality or discontinuous transitions, coexistence and hysteresis. After a short review, we show that a similar approach suggests that social communities stabilized by network interactions may become...

We study the long-run emergence of behavioral patterns in dynamic complex networks. Individuals can display two kinds of behavior: G ("good" ) or B ("bad" ). We assume that the exposure of a G agent to bad behavior on the part of peers/neighbors triggers her own switch to B behavior, but only...

The paper discusses the important role of clustering in the evolution of social networks, as it affects not only the incentives of players to cooperate but also their ability to search for fresh opportunities. Depending on the volatility of the environment and the social convention in place, we...

The paper proposes a model to study the conditions under which complex networks emerge (or not) when agents are involved in a dynamic coordination setup. The focus, however, is not on the classical issue of equilibrium selection - instead, our aim is to shed light on how agents' efforts to...

We study the long-run-emergency of behavioral patterns in dynamic complex networks. Individuals display two kinds of behavior: G("good") or B ("bad"). We assume that agents have an innate tendency towards G, but can also be led towards B though the influence of peer bad behavior. We model the...