The modern science of networks has made significant advancement in the modeling of
complex real-world systems. One of the most important features in these networks is the …

One of the most engaging challenges for mobile operators today is how to manage the
exponential data traffic increase. Mobile data offloading stands out as a promising and low …

Graphs arise naturally in many real-world applications including social networks,
recommender systems, ontologies, biology, and computational finance. Traditionally …

Dynamic network link prediction is becoming a hot topic in network science, due to its wide
applications in biology, sociology, economy and industry. However, it is a challenge since …

A deluge of new data on real-world networks suggests that interactions among system units
are not limited to pairs, but often involve a higher number of nodes. To properly encode …

In this article we discuss the state of the art of (mobile) multihop ad hoc networking. This
paradigm has often been identified with the solutions developed inside the IETF MANET …

Understanding human mobility is crucial for a broad range of applications from disease
prediction to communication networks. Most efforts on studying human mobility have so far …

This paper addresses the problem of improving the accuracy of an hypothesis output by a
learning algorithm in the distribution-free (PAC) learning model. A concept class is learnable …

Abstract Internet of Things (IoT) paradigm connects physical world and cyberspace via
physical objects and facilitate the development of smart applications and infrastructures. A …

The past few years have seen intensive research efforts carried out in some apparently
unrelated areas of dynamic systems–delay-tolerant networks, opportunistic-mobility …