In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

Opinions are an integral part of how we perceive the world and each other. They shape
collective action, playing a role in democratic processes, the evolution of norms, and cultural …

Epidemic spreading processes in the real world depend on human behaviors and,
consequently, are typically non-Markovian in that the key events underlying the spreading …

In this Letter, a generalization of pairwise models to non-Markovian epidemics on networks
is presented. For the case of infectious periods of fixed length, the resulting pairwise model …

The Gillespie algorithm provides statistically exact methods for simulating stochastic
dynamics modeled as interacting sequences of discrete events including systems of …

Social interactions present opportunities for both information and infection to spread through
populations. Social learning is often proposed as a key benefit of sociality, while infectious …

Many complex systems can be modeled as temporal networks with time-evolving
connections. The influence of their characteristics on epidemic spreading is analyzed in a …

The initial transient phase of an emerging epidemic is of critical importance for data-driven
model building, model-based prediction of the epidemic trend, and articulation of …

We study theoretically and numerically the voter model with memory-dependent dynamics at
the mean-field level. The “internal age”, related to the time an individual spends holding the …

Many aspects of human and animal interaction, such as the frequency of contacts of an
individual, the number of interaction partners, and the time between the contacts of two …