Extreme Thouless effect in a minimal model of dynamic social networks.

In common descriptions of phase transitions, first-order transitions are characterized by discontinuous jumps in the order parameter and normal fluctuations, while second-order transitions are associated with no jumps and anomalous fluctuations. Outside this paradigm are systems exhibiting "mixed-order" transitions displaying a mixture of these characteristics. When the jump is maximal and the fluctuations range over the entire range of allowed values, the behavior has been coined an "extreme Thouless effect.

Epidemic spreading on preferred degree adaptive networks.

We study the standard SIS model of epidemic spreading on networks where individuals have a fluctuating number of connections around a preferred degree κ. Using very simple rules for forming such preferred degree networks, we find some unusual statistical properties not found in familiar Erdös-Rényi or scale free networks. By letting κ depend on the fraction of infected individuals, we model the behavioral changes in response to how the extent of the epidemic is perceived.

Opinion formation on adaptive networks with intensive average degree.

We study the evolution of binary opinions on a simple adaptive network of N nodes. At each time step, a randomly selected node updates its state ("opinion") according to the majority opinion of the nodes that it is linked to; subsequently, all links are reassigned with probability p̃ (q̃) if they connect nodes with equal (opposite) opinions. In contrast to earlier work, we ensure that the average connectivity ("degree") of each node is independent of the system size ("intensive"), by choosing p̃ and q̃ to be of O(1/N).

Competition between multiple totally asymmetric simple exclusion processes for a finite pool of resources.

Using Monte Carlo simulations and a domain-wall theory, we discuss the effect of coupling several totally asymmetric simple exclusion processes (TASEPs) to a finite reservoir of particles. This simple model mimics directed biological transport processes in the presence of finite resources such as protein synthesis limited by a finite pool of ribosomes. If all TASEPs have equal length, we find behavior which is analogous to a single TASEP coupled to a finite pool.

Opinion dynamics on an adaptive random network.

We revisit the classical model for voter dynamics in a two-party system with two basic modifications. In contrast to the original voter model studied in regular lattices, we implement the opinion formation process in a random network of agents in which interactions are no longer restricted by geographical distance. In addition, we incorporate the rapidly changing nature of the interpersonal relations in the model.