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

The propagations of diseases, behaviors and information in real systems are rarely
independent of each other, but they are coevolving with strong interactions. To uncover the …

It is increasingly recognized that a key component of successful infection control efforts is
understanding the complex, two-way interaction between disease dynamics and human …

Abstract Models of epidemic spreading on complex networks have attracted great attention
among researchers in physics, mathematics, and epidemiology due to their success in …

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 …

The dynamics of infectious diseases spread via direct person-to-person transmission (such
as influenza, smallpox, HIV/AIDS, etc.) depends on the underlying host contact network …

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 …

Social network analysis has important research significance in sociology, business analysis,
public security, and other fields. The traditional Louvain algorithm is a fast community …

An emerging disease is one infectious epidemic caused by a newly transmissible pathogen,
which has either appeared for the first time or already existed in human populations, having …