Community detection in networks: A multidisciplinary review
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 …
complex real-world systems. One of the most important features in these networks is the …
Data offloading techniques in cellular networks: A survey
F Rebecchi, MD De Amorim, V Conan… - … Surveys & Tutorials, 2014 - ieeexplore.ieee.org
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 …
exponential data traffic increase. Mobile data offloading stands out as a promising and low …
Representation learning for dynamic graphs: A survey
Graphs arise naturally in many real-world applications including social networks,
recommender systems, ontologies, biology, and computational finance. Traditionally …
recommender systems, ontologies, biology, and computational finance. Traditionally …
GC-LSTM: Graph convolution embedded LSTM for dynamic network link prediction
J Chen, X Wang, X Xu - Applied Intelligence, 2022 - Springer
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 …
applications in biology, sociology, economy and industry. However, it is a challenge since …
Higher-order motif analysis in hypergraphs
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 …
are not limited to pairs, but often involve a higher number of nodes. To properly encode …
Mobile ad hoc networking: milestones, challenges, and new research directions
M Conti, S Giordano - IEEE Communications Magazine, 2014 - ieeexplore.ieee.org
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 …
paradigm has often been identified with the solutions developed inside the IETF MANET …
Understanding human mobility from Twitter
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 …
prediction to communication networks. Most efforts on studying human mobility have so far …
Social Internet of Things (SIoT): Foundations, thrust areas, systematic review and future directions
Abstract Internet of Things (IoT) paradigm connects physical world and cyberspace via
physical objects and facilitate the development of smart applications and infrastructures. A …
physical objects and facilitate the development of smart applications and infrastructures. A …
The strength of weak learnability
RE Schapire - Machine learning, 1990 - Springer
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 …
learning algorithm in the distribution-free (PAC) learning model. A concept class is learnable …
Time-varying graphs and dynamic networks
The past few years have seen intensive research efforts carried out in some apparently
unrelated areas of dynamic systems–delay-tolerant networks, opportunistic-mobility …
unrelated areas of dynamic systems–delay-tolerant networks, opportunistic-mobility …