Modeling Asymmetric Relationships from Symmetric Networks

Arturas Rozenas, Shahryar Minhas, John Ahlquist

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Many bilateral relationships requiring mutual agreement produce observable networks that are symmetric (undirected). However, the unobserved, asymmetric (directed) network is frequently the object of scientific interest. We propose a method that probabilistically reconstructs the latent, asymmetric network from the observed, symmetric graph in a regression-based framework. We apply this model to the bilateral investment treaty network. Our approach successfully recovers the true data generating process in simulation studies, extracts new, politically relevant information about the network structure inaccessible to alternative approaches, and has superior predictive performance.

    Original languageEnglish (US)
    Pages (from-to)231-236
    Number of pages6
    JournalPolitical Analysis
    Volume27
    Issue number2
    DOIs
    StatePublished - Apr 1 2019

    Keywords

    • Bayesian estimation
    • binary responses
    • latent variables
    • networks

    ASJC Scopus subject areas

    • Sociology and Political Science
    • Political Science and International Relations

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