Publication: Predicting network events to assess goodness of fit of relational event models
Predicting network events to assess goodness of fit of relational event models
Date
Date
Date
Citations
Brandenberger, L. (2019). Predicting network events to assess goodness of fit of relational event models. Political Analysis, 27, 556–571. https://doi.org/10.1017/pan.2019.10
Abstract
Abstract
Abstract
Relational event models are becoming increasingly popular in modeling temporal dynamics of social networks. Due to their nature of combining survival analysis with network model terms, standard methods of assessing model fit are not suitable to determine if the models are specified sufficiently to prevent biased estimates. This paper tackles this problem by presenting a simple procedure for model-based simulations of relational events. Predictions are made based on survival probabilities and can be used to simulate new event sequences
Metrics
Citations
Additional indexing
Creators (Authors)
Volume
Volume
Volume
Number
Number
Number
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Metrics
Citations
Citations
Brandenberger, L. (2019). Predicting network events to assess goodness of fit of relational event models. Political Analysis, 27, 556–571. https://doi.org/10.1017/pan.2019.10
