Dr. Johan Koskinen is a senior lecturer in social network analysis in the Melbourne School of Psychological Sciences. He has previously worked at the Universities of Manchester, Oxford, and Stockholm. A statistician by training he has primarily made methodological contributions to the analysis of cross-sectional and dynamic network data and been published in Annals of Applied Statistics, Psychometrika, and Journal of Statistical Planning and Inference, among others. He has also facilitated methodologically innovative research with a substantive focus that has been published in journals such as Quantitate Criminology, European Sociological Review, and Social Networks. Dr. Koskinen has been active in disseminating current best methods through frequent training and books such as the award-winning book on exponential random graph models.
2 Ebooki wg Mark Tranmer
Mark Tranmer & Nick Crossley: Social Network Analysis for Ego-Nets
The ego-net approach to social network analysis, which takes discrete individual actors and their contacts as its starting point, is one of the most widely used approaches in the field. This is the f …
EPUB
Angielski
DRM
€49.99
Elisa Bellotti & Nick Crossley: Social Network Analysis for Ego-Nets
The ego-net approach to social network analysis, which takes discrete individual actors and their contacts as its starting point, is one of the most widely used approaches in the field. This is the f …
PDF
Angielski
DRM
€44.92