  Motivated by the growing number of mobile devices capable of connecting and
exchanging messages, we propose a methodology aiming to model and analyze node
mobility in networks. We note that many existing solutions in the literature
rely on topological measurements calculated directly on the graph of node
contacts, aiming to capture the notion of the node's importance in terms of
connectivity and mobility patterns beneficial for prototyping, design, and
deployment of mobile networks. However, each measure has its specificity and
fails to generalize the node importance notions that ultimately change over
time. Unlike previous approaches, our methodology is based on a node embedding
method that models and unveils the nodes' importance in mobility and
connectivity patterns while preserving their spatial and temporal
characteristics. We focus on a case study based on a trace of group meetings.
The results show that our methodology provides a rich representation for
extracting different mobility and connectivity patterns, which can be helpful
for various applications and services in mobile networks.
