User:Tore Opsahl

Tore Opsahl is a Research Associate at Imperial College Business School. He holds a PhD from University of London, where he also earned his bachelor’s degree (in combination with University of California, Irvine).

Tore Opsahl's work includes both theoretical modelling and empirical analysis of networks as diverse as online communication networks, airline networks, scientific collaboration networks, neural networks, and intra- and inter-organisational networks. He is particularly interested in investigating the impact that network structure and dynamics have on knowledge transfer and sharing, and ultimately on individual and organisational performance.

In addition to having published a number of research articles, Tore Opsahl writes a blog on network research. It is focused on methods related to weighted networks, two-mode networks, and longitudinal networks. Although these three features are enormous sources of data, only a few social network measures are able to include them. Therefore, they are often overlooked or ignored in emperical studies. By discarding these features, the richness of the data is considerably reduced, which in turn, limits the analysis. His blog can be found at http://toreopsahl.com/

Moreover, to disseminate measures and algorithms proposed in research articles and on his blog, Tore Opsahl is the author of an R-package aimed at analysing weighted networks, two-mode networks, and longitudinal networks. This package is named tnet and is available through the CRAN-servers as well as on its supporting website: http://opsahl.co.uk/tnet/