A great variety of systems in nature, society and technology–from the web of sexual contacts
to the Internet, from the nervous system to power grids–can be modeled as graphs of …

The power of any kind of network approach lies in the ability to simplify a complex system so
that one can better understand its function as a whole. Sometimes it is beneficial, however …

Dynamic networks are used in a wide range of fields, including social network analysis,
recommender systems and epidemiology. Representing complex networks as structures …

Network intrusion detection systems (NIDS) play a crucial role in maintaining network
security. However, current NIDS techniques tend to neglect the topological structures of …

A network is a collection of nodes and edges, where an edge connects two nodes. Many
social, natural and engineered systems can be represented as networks. Examples include …

Software-defined networking (SDN) based LEO satellite networks can make full use of
satellite resources through flexible function configuration and efficient resource …

A link stream is a collection of triplets (t, u, v) indicating that an interaction occurred between
u and v at time t. We generalize the classical notion of cliques in graphs to such link streams …

We introduce a natural temporal analogue of Eulerian circuits and prove that, in contrast to
the static case, it is NP-hard to determine whether a given temporal graph is temporally …

In this work we consider temporal networks, ie networks defined by a labeling λ λ assigning
to each edge of an underlying graph G a set of discrete time-labels. The labels of an edge …

We present a contact-based model to study the spreading of epidemics by means of
extending the dynamic message-passing approach to temporal networks. The shift in …