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A review of dynamic network models with latent variables
We present a selective review of statistical modeling of dynamic networks. We focus on
models with latent variables, specifically, the latent space models and the latent class …
models with latent variables, specifically, the latent space models and the latent class …
Network interdependencies and the evolution of the international arms trade
Since few states are able to produce all of their own military hardware, a majority of
countries' military systems rely on weapon imports. The structure of the international defense …
countries' military systems rely on weapon imports. The structure of the international defense …
Networks of cooperation: Rebel alliances in fragmented civil wars
When rebels make alliances, what informs their choice of allies? Civil wars are rarely simple
contests between rebels and incumbent regimes. Rather, rival militant networks provide the …
contests between rebels and incumbent regimes. Rather, rival militant networks provide the …
Fratricide in rebel movements: A network analysis of Syrian militant infighting
Violent conflict among rebels is a common feature of civil wars and insurgencies. Yet, not all
rebel groups are equally prone to such infighting. While previous research has focused on …
rebel groups are equally prone to such infighting. While previous research has focused on …
Diffusion across international organizations: Connectivity and convergence
While extensive research shows that policies and institutions spread across states through
processes of diffusion, we know little about diffusion among international organizations …
processes of diffusion, we know little about diffusion among international organizations …
Inferential approaches for network analysis: AMEN for latent factor models
We introduce a Bayesian approach to conduct inferential analyses on dyadic data while
accounting for interdependencies between observations through a set of additive and …
accounting for interdependencies between observations through a set of additive and …
Path coherence and disruption in routine dynamics
We use evidence from a disruption of clinical documentation routines to propose a novel,
predictive mechanism for routine dynamics based on path coherence. Path coherence refers …
predictive mechanism for routine dynamics based on path coherence. Path coherence refers …
The ALCORE Tensor Decomposition for Sparse Count Data
This paper introduces AL $\ell_0 $ CORE, a new form of probabilistic non-negative tensor
decomposition. AL $\ell_0 $ CORE is a Tucker decomposition that constrains the number of …
decomposition. AL $\ell_0 $ CORE is a Tucker decomposition that constrains the number of …
Networks of violence: Predicting conflict in Nigeria
Civil conflicts are complex: multiple warring parties compete for control of territory both
against each other and the government. These processes are often dynamic, changing over …
against each other and the government. These processes are often dynamic, changing over …
Change point estimation in a dynamic stochastic block model
We consider the problem of estimating the location of a single change point in a network
generated by a dynamic stochastic block model mechanism. This model produces …
generated by a dynamic stochastic block model mechanism. This model produces …