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 …

Community structure is one of the most relevant features encountered in numerous real-
world applications of networked systems. Despite the tremendous effort of a large …

Influence maximization is the process of identifying a small set of influential nodes from a
complex network to maximize the number of activation nodes. Due to the critical issues such …

Identifying influential spreaders in networks is an essential issue in order to prevent
epidemic spreading, or to accelerate information diffusion. Several centrality measures take …

The spread of disease on complex networks has attracted wide attention in the physics
community. Recent works have demonstrated that heterogeneous degree and weight …

Due to the continuous emergence of various social and trade networks, network influence
analysis has aroused great interest of the researchers. Based on different influence …

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

This is an introduction to the special issue titled “Vaccination and epidemics in networked
populations” that is in the making at Chaos, Solitons & Fractals. While vaccination is …

The influence maximization problem has gained particular importance in viral marketing for
large-scale spreading in social networks. Develo** a fast and appropriate algorithm to …

Although community structure is ubiquitous in complex networks, few works exploit this
topological property to control epidemics. In this work, devoted to networks with non …