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

Historically, infectious diseases caused considerable damage to human societies, and they
continue to do so today. To help reduce their impact, mathematical models of disease …

Extreme events gain the attention of researchers due to their utmost importance in various
contexts ranging from climate to brain. An observable that deviates significantly from its long …

We investigate the impact of community structure on information diffusion with the linear
threshold model. Our results demonstrate that modular structure may have counterintuitive …

Many real-world networks display a community structure. We study two random graph
models that create a network with similar community structure as a given network. One …

Influence maximization is a classic optimization problem studied in the area of social
network analysis and viral marketing. Given a network, it is defined as the problem of finding …

Community discovery has emerged during the last decade as one of the most challenging
problems in social network analysis. Many algorithms have been proposed to find …

We investigate the effects of modular and temporal connectivity patterns on epidemic
spreading. To this end, we introduce and analytically characterise a model of time-varying …

Targeted immunization is a commonly used strategy in preventing epidemic spreading.
Traditional methods immunize targeted nodes based on specific global or local network …

Social network is an abstract presentation of social systems where ideas and information
propagate through the interactions between individuals. It is an essential issue to find a set …