Network analysis represents a novel theoretical approach to personality. Network
approaches motivate alternative ways of analyzing data, and suggest new ways of modeling …

Research on the robustness of networks, and in particular the Internet, has gained critical
importance in recent decades because more and more individuals, societies and firms rely …

The roles of different nodes within a network are often understood through centrality
analysis, which aims to quantify the capacity of a node to influence, or be influenced by …

Networks and network analysis are arguably one of the largest growth areas of the early
twenty-first century in the quantitative sciences. Despite roots in social network analysis …

The topological landscape of molecular or functional interaction networks provides a rich
source of information for inferring functional patterns of genes or proteins. However, a …

Betweenness centrality based on shortest paths is a standard measure of control utilized in
numerous studies and implemented in all relevant software tools for network analysis. In this …

'Network'is a heavily overloaded term, so that 'network analysis' means different things to
different people. Specific forms of network analysis are used in the study of diverse …

Prior research has emphasized the importance of boundary spanners in facilitating the
transfer of knowledge between organizational units. The successful transfer of knowledge …

In complex networks, each node has some unique characteristics that define the importance
of the node based on the given application-specific context. These characteristics can be …

A citation-based indicator for interdisciplinarity has been missing hitherto among the set of
available journal indicators. In this study, we investigate network indicators (betweenness …