The COVID-19 pandemic has caused dramatic changes on a global scale. According to the
United Nations World Tourism Organization (2020), the restricted movement that has arisen …

A system of interconnected buyers and suppliers is better modeled as a network than as a
linear chain. In this paper we demonstrate how to use social network analysis to investigate …

This book is available as open access through the Bloomsbury Open Access programme
and is available on www. bloomsburycollections. com. This book introduces the non …

Motivated by the fast‐growing need to compute centrality indices on large, yet very sparse,
networks, new algorithms for betweenness are introduced in this paper. They require O (n+ …

Centrality measures, or at least popular interpretations of these measures, make implicit
assumptions about the manner in which traffic flows through a network. For example, some …

In this study, we develop a theoretical model based on social network theories and
analytical methods for exploring collaboration (co-authorship) networks of scholars. We use …

The concept of centrality is often invoked in social network analysis, and diverse indices
have been proposed to measure it. This paper develops a unified framework for the …

The set of techniques and methods collectively known as" network analysis" has proliferated
rapidly in recent years. There are several reasons for this development. Within sociology …

We analyze whether preferential attachment in scientific coauthorship networks is different
for authors with different forms of centrality. Using a complete database for the scientific …

A new model of centrality is proposed for networks. The centrality measure is based on the
“information” contained in all possible paths between pairs of points. The method does not …