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 …

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

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 …

Understanding mobile traffic patterns of large scale cellular towers in urban environment is
extremely valuable for Internet service providers, mobile users, and government managers …

Complex networks have emerged as a simple yet powerful framework to represent and
analyze a wide range of complex systems. The problem of ranking the nodes and the edges …