Corpus ID: 232075969

Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts

@article{Olivella2021DynamicSB,
  title={Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts},
  author={Santiago Olivella and Tyler Pratt and Kosuke Imai},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.00702}
}
A primary goal of social science research is to understand how latent group memberships predict the dynamic process of network evolution. In the modeling of international conflicts, for example, scholars hypothesize that membership in geopolitical coalitions shapes the decision to engage in militarized conflict. Such theories explain the ways in which nodal and dyadic characteristics affect the evolution of relational ties over time via their effects on group memberships. To aid the empirical… Expand

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References

SHOWING 1-10 OF 68 REFERENCES
Mixed-membership of experts stochastic blockmodel
TLDR
The mixed membership of experts stochastic blockmodel is introduced, an extension to the mixed membership stochastics blockmodel which incorporates covariate actor information into the existing model, providing further flexibility. Expand
Nonparametric Multi-group Membership Model for Dynamic Networks
TLDR
This work proposes a nonparametric multi-group membership model for dynamic networks that captures the evolution of individual node group memberships via a Factorial Hidden Markov model and explains the dynamics of the network structure by explicitly modeling the connectivity structure of groups. Expand
Modeling Dependencies in International Relations Networks
Despite the desire to focus on the interconnected nature of politics and economics at the global scale, most empirical studies in the field of international relations assume not only that the majorExpand
Model‐based clustering for social networks
Network models are widely used to represent relations between interacting units or actors. Network data often exhibit transitivity, meaning that two actors that have ties to a third actor are moreExpand
Latent Space Approaches to Social Network Analysis
Network models are widely used to represent relational information among interacting units. In studies of social networks, recent emphasis has been placed on random graph models where the nodesExpand
Statistical clustering of temporal networks through a dynamic stochastic block model
TLDR
This work explores statistical properties and frequentist inference in a model that combines a stochastic block model for its static part with independent Markov chains for the evolution of the nodes groups through time and proposes an inference procedure based on a variational expectation maximization algorithm. Expand
A state-space mixed membership blockmodel for dynamic network tomography
TLDR
A model-based approach to analyze what is referred to as the dynamic tomography of time-evolving networks, which offers an intuitive but powerful tool to infer the semantic underpinnings of each actor, such as its social roles or biological functions, underlying the observed network topologies. Expand
Stochastic Blockmodels for Directed Graphs
Abstract Holland and Leinhardt (1981) proposed the p 1 model for the analysis of binary directed graph data in network studies. Such a model provides information about the “attractiveness” andExpand
Overlapping stochastic block models with application to the French political blogosphere
TLDR
This approach allows the vertices to belong to multiple clusters, and, to some extent, generalizes the well-known Stochastic Block Model, and proposes an approximate inference procedure, based on global and local variational techniques. Expand
Improving Quantitative Studies of International Conflict: A Conjecture
W e address a well-known but inffequently discussed problem in the quantitative study of international conpict: Despite immense data collections, prestigious journals, and sophisticated analyses,Expand
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