The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …

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 …

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 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 …

Shortest path is a fundamental graph problem with numerous applications. However, the
concept of classic shortest path is insufficient or even flawed in a temporal graph, as the …

Temporal networks, ie, networks in which the interactions among a set of elementary units
change over time, can be modelled in terms of time-varying graphs, which are time-ordered …

With the rapid growth of online social networking for health, health care systems are
experiencing an inescapable increase in complexity. This is not necessarily a drawback; self …

A time-dependent graph is, informally speaking, a graph structure dynamically changes with
time. In such graphs, the weights associated with edges dynamically change over time, that …

Many natural and artificial networks evolve in time. Nodes and connections appear and
disappear at various time scales, and their dynamics has profound consequences for any …

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 …