Statistical Models for Social Networks
By Stanley Wasserman, P. Pattison. 2000
206 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/1d94d9123b2170d67023b5487d9ce1eefabe90d2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- Damien Farine
- Hal Whitehead
- Timon Elmer
- M. Wichers
- R. Krause
- Guillaume Deffuant
- L. Bringmann
- Jan Lorenz
In Statistical and Nonlinear Physics
- Jan Lorenz
- Sylvie Huet
- Timon Elmer
- M. Wichers
- Guillaume Deffuant
- Sacha Epskamp
- Damien Farine
- Hal Whitehead
Citations in the corpus
- Models of Social Influence: Towards the Next Frontiers (2017, background): “Stochastic actor orientedmodels developed by Snijders and others (Snijders 2011; Snijders & Steglich 2015; Steglich et al. 2010) combine agent-based modeling of such longitudinal data with statistical estimation and testing of themechanisms assumed by themodeler.”
- What do centrality measures measure in psychological networks? (2019, background): “Another assumption that hampers the use of these centrality indices in psychological networks is node exchangeability (Snijders, 2011).”
- Constructing, conducting and interpreting animal social network analysis (2015, background): “While GLMMs deal well with repeated observations made on individuals, they cannot readily control for non-independence in the network measures themselves (Snijders 2011).”