Experts from several disciplines have been widely using centrality measures for analyzing
large as well as complex networks. These measures rank nodes/edges in networks by …

Betweenness centrality evaluates the importance of nodes and edges in networks and is
one of the most pivotal indices in complex network analysis; for example, it is widely used in …

The ongoing digitization of cities, enabled by the diffusion of interconnected sensors and
devices, makes it possible to continuously collect and analyze huge streams of data at …

Betweenness Centrality (BC) has proven to be a fundamental metric in many domains to
identify the components (nodes) of a system modelled as a graph that are mostly traversed …

Continuous data streams, generated by modern sensed cities, open many opportunities and
perspectives in terms of developing new innovative services. To exploit this potential …

The quality of the solution in resolving a complex network depends on either the speed or
accuracy of the results. While some health studies prioritize high performance, fast …

Despite the important planning value of transportation link criticality, the existing
methodologies are mostly in the academic domain, and require in-depth technical skills and …

Influential spreaders play a critical role, either maximizing information dissemination or
controlling epidemic spreads. Much of the existing research concentrates on identifying …

Betweenness centrality is essential in complex network analysis; it characterizes the
importance of nodes and edges in networks. It is a crucial problem that exactly computes the …

The widespread diffusion of the SARS-CoV2 virus in the last months has forced many
organizations in different socio-economic fields to study new technologies to counteract its …