Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …

The emerging field of network science deals with the tasks of modeling, comparing, and
summarizing large data sets that describe complex interactions. Because pairwise affinity …

The study of dynamic networks has come into popularity recently, and many models and
algorithms for such networks have been suggested. In this column we survey some recent …

Recent theoretical work on the modeling of network structure has focused primarily on
networks that are static and unchanging, but many real-world networks change their …

Many natural and technological applications generate time-ordered sequences of networks,
defined over a fixed set of nodes; for example, time-stamped information about “who phoned …

Real complex systems are inherently time-varying. Thanks to new communication systems
and novel technologies, today it is possible to produce and analyze social and biological …

Dispersal is a central life history trait that affects the ecological and evolutionary dynamics of
populations and communities. The recent use of experimental evolution for the study of …

Recent advances in spatial and temporal networks have enabled researchers to more-
accurately describe many real-world systems such as urban transport networks. In this …

In this paper we present a model describing susceptible-infected-susceptible-type
epidemics spreading on a dynamic contact network with random link activation and deletion …

A graph whose edges only appear at certain points in time is called a temporal graph
(among other names). Such a graph is temporally connected if each ordered pair of vertices …