Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …

Online social networks provide an opportunity to spread messages and news fast and
widely. One may appreciate the quick spread of legitimate news and messages but …

Background Human movement is a key behavioral factor in many vector-borne disease
systems because it influences exposure to vectors and thus the transmission of pathogens …

A challenging issue in viral marketing is to effectively identify a set of influential users. By
sending the advertising messages to this set, one can reach out the largest area of the …

Finding the most influential nodes in social networks has significant applications. A number
of methods have been recently proposed to estimate influentiality of nodes based on their …

Connections in complex networks are inherently fluctuating over time and exhibit more
dimensionality than analysis based on standard static graph measures can capture. Here …

Due to the rapid extension of social networks in recent years, a new potential has emerged
for global spreading of messages and effective broadcasting of news. Identification of …

With the prosperity of social networks, the research of influence maximization has become
growing importance and captured increasing attention from various disciplines. The key …

Identification of influential users for news and messages propagation constitutes one of the
most important topics in analysis of social networks. The success of the spreading process in …

Real complex systems are inherently time-varying. Thanks to new communication systems
and novel technologies, today it is possible to produce and analyze social and biological …