A quantitative approach to social network analysis involves the application of mathematical
and statistical techniques and graphical presentation of results. Nonetheless—as with all …

Measuring the importance of nodes in a network with a centrality measure is an core task in
any network application. There many measures available and it is speculated that many …

This study models how new ideas, practices, or diseases spread within and between
communities, the diffusion of innovations or contagion. Several factors affect diffusion such …

The harmonic closeness centrality measure associates, to each node of a graph, the
average of the inverse of its distances from all the other nodes (by assuming that …

Buss et al [KDD 2020] recently proved that the problem of computing the betweenness of all
nodes of a temporal graph is computationally hard in the case of foremost and fastest paths …

We look at the network of mathematicians defined by the hyperlinks between their
biographies on Wikipedia. We show how to extract this information using three snapshots of …

Social Network Analysis (SNA) is a theoretical 20.1. 1 Foundations and Key Ideas
perspective and a research method used in the A diverse set of scientific disciplines has con …