The abundance of interconnected data has fueled the design and implementation of graph
generators reproducing real-world linking properties or gauging the effectiveness of graph …

Graph theory provides a language for studying the structure of relations, and it is often used
to study interactions over time too. However, it poorly captures the intrinsically temporal and …

A temporal graph is, informally speaking, a graph that changes with time. When time is
discrete and only the relationships between the participating entities may change and not …

Shortest path is a fundamental graph problem with numerous applications. However, the
concept of classic shortest path is insufficient. In this paper, we study various concepts of …

In recent years, Dynamic Graph (DG) representations have been increasingly used for
modeling dynamic systems due to their ability to integrate both topological and temporal …

Spiking neural P systems (SN P systems) are models of computation inspired by biological
spiking neurons. SN P systems have neurons as spike processors, which are placed on the …

The temporal graph exploration problem TEXP is the problem of computing a foremost
exploration schedule for a temporal graph, ie, a temporal walk that starts at a given start …

Over the last few years, the analysis and modeling of networks as well as the analysis and
modeling of networked dynamical systems, has attracted considerable interdisciplinary …

In this work, we introduce the notion of time to some well-known combinatorial optimization
problems. In particular, we study problems defined on temporal graphs. A temporal graph …

This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …