The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

Abstract Information cascades are important dynamical processes in complex networks. An
information cascade can describe the spreading dynamics of rumour, disease, memes, or …

With the rapid development of ambient intelligence (AmI) in the Internet of Things (IoT),
many data streams are generated from sensing devices in intelligent scenarios. Due to the …

Abstract Online Social Networks (OSNs) have become a primary area of interest for cutting-
edge cybersecurity applications, due to their ever increasing popularity and to the variety of …

Anomaly detection has been an essential and dynamic research area in the data mining. A
wide range of applications including different social medias have adopted different state-of …

Though the sheer volume of data that is collected is immense, it is the rare categories that
are often the most important in many high-impact domains, ranging from financial fraud …

The rapid growth of online social media usage in our daily lives has increased the
importance of analyzing the dynamics of online social networks. However, the dynamic data …

Anomaly detection approaches have become critically important to enhance decision-
making systems, especially regarding the process of risk reduction in the economic …

The traditional complex network theory is particularly focused on network models in which
all network constituents are dealt with equivalently, while fail to consider the supplementary …

Unlike conventional IT systems, industrial control systems (ICSs) requires tailored attack
detection methods due to its unique communication protocols. Existing attack detection …