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

A network is a typical expressive form of representing complex systems in terms of vertices
and links, in which the pattern of interactions amongst components of the network is intricate …

Swarm Robotics (SR) is an extension of the study of Multi-Robot Systems that exploits
concepts of communication, coordination and collaboration among a large number of robots …

Spreading processes on graphs are a natural model for a wide variety of real-world
phenomena, including information spread over social networks and biological diseases …

Modern, inherently dynamic systems are usually characterized by a network structure which
is subject to discrete changes over time. Given a static underlying graph, a temporal graph …

Temporal graphs naturally model graphs whose underlying topology changes over time.
Recently, the problems Temporal Vertex Cover (or TVC) and Sliding-Window Temporal …

A graph is temporally connected if a strict temporal path exists from every vertex u to every
other vertex v. This paper studies temporal design problems for undirected temporally …

This survey paper presents a comprehensive and conceptual overview of anomaly detection
using dynamic graphs. We focus on existing graph-based anomaly detection (AD) …

Graph coloring is one of the most famous computational problems with applications in a
wide range of areas such as planning and scheduling, resource allocation, and pattern …

Abstract Let G=(V, E) be an undirected graph on n vertices and λ: E→ 2 N a mapping that
assigns to every edge a non-empty set of integer labels (discrete times when the edge is …