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 …

Bursty dynamics is a common temporal property of various complex systems in nature but it
also characterises the dynamics of human actions and interactions. At the …

Many dynamical systems can be successfully analyzed by representing them as networks.
Empirically measured networks and dynamic processes that take place in these situations …

User interaction plays an important role in the formation of network public opinion. Many
studies have found the power-law characteristics and multimode characteristics of individual …

Today, numerous models and metrics are available to capture and characterize static
properties of online social networks. When it comes to understanding their dynamics and …

Ego-networks are fundamental structures in social graphs, yet the process of their evolution
is still widely unexplored. In an online context, a key question is how link recommender …

In today's technology-assisted society, social interactions may be expressed through a
variety of techno-communication channels, including online social networks, email and …

As Location-Based Social Networks (LBSNs) have become widely used by users,
understanding user engagement and predicting user churn are essential to the …

To study how a certain network feature affects processes occurring on a temporal network,
one often compares properties of the original network against those of a randomized …

Getting the overall picture of how a large number of ego-networks evolve is a common yet
challenging task. Existing techniques often require analysts to inspect the evolution patterns …