Corpus ID: 232075969

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

  title={Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts},
  author={Santiago Olivella and Tyler Pratt and Kosuke Imai},
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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