Zobrazeno 1 - 10
of 157
pro vyhledávání: '"CRANMER, SKYLER J."'
Models of contagion dynamics, originally developed for infectious diseases, have proven relevant to the study of information, news, and political opinions in online social systems. Modelling diffusion processes and predicting viral information cascad
Externí odkaz:
http://arxiv.org/abs/1809.04104
Autor:
Marrs, Frank W., Campbell, Benjamin W., Fosdick, Bailey K., Cranmer, Skyler J., Böhmelt, Tobias
Publikováno v:
Journal of Computational and Graphical Statistics, 1-13 (2019)
Longitudinal bipartite relational data characterize the evolution of relations between pairs of actors, where actors are of two distinct types and relations exist only between disparate types. A common goal is to understand the temporal dependencies,
Externí odkaz:
http://arxiv.org/abs/1809.03439
Publikováno v:
The Oxford Handbook of Political Networks. Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell, editors. Oxford University Press, 2017
Researchers interested in statistically modeling network data have a well-established and quickly growing set of approaches from which to choose. Several of these methods have been regularly applied in research on political networks, while others hav
Externí odkaz:
http://arxiv.org/abs/1703.02870
The large majority of inferences drawn in empirical political research follow from model-based associations (e.g. regression). Here, we articulate the benefits of predictive modeling as a complement to this approach. Predictive models aim to specify
Externí odkaz:
http://arxiv.org/abs/1612.05844
Autor:
Craig, Alison, Cranmer, Skyler J., Desmarais, Bruce A., Clark, Christopher J., Moscardelli, Vincent G.
Previous research indicates that race, ethnicity, and gender influence legislative behavior in important ways. The bulk of this research, however, focuses on the way these characteristics shape an individual legislator's behavior, making it less clea
Externí odkaz:
http://arxiv.org/abs/1512.06141
Dyadic research designs concern data that comprises interactions among actors. Dyadic approaches unambiguously constitute the most frequent designs employed in the empirical study of international politics, but what do such designs cary with them in
Externí odkaz:
http://arxiv.org/abs/1512.00538
Autor:
Leifeld, Philip, Cranmer, Skyler J.
The temporal exponential random graph model (TERGM) and the stochastic actor-oriented model (SAOM, e.g., SIENA) are popular models for longitudinal network analysis. We compare these models theoretically, via simulation, and through a real-data examp
Externí odkaz:
http://arxiv.org/abs/1506.06696
The study of complex social and political phenomena with the perspective and methods of network science has proven fruitful in a variety of areas, including applications in political science and more narrowly the field of international relations. We
Externí odkaz:
http://arxiv.org/abs/1402.0126
Publikováno v:
The Journal of Conflict Resolution, 2019 Aug 01. 63(7), 1736-1764.
Externí odkaz:
https://www.jstor.org/stable/48597382
