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Stimulating competition is one of the main topics in most health care reform debates, and it has been a central issue in the Affordable Care Act (ACA), USA, since 2009. The goal of this paper is to use complex network methods to study dynamic and structure of competition under ACA and its evolution over time since its beginning until 2017. Using publicly available data, we construct a bipartite network of counties and insurance providers, create associated weighted single-mode networks, and analyze the evolution of network parameters that are related to competition and potential collusion in complex networks. These parameters have been previously tied to the dynamics of collaboration and competition in earlier theoretical works. We argue that three parameters (network modularity, and the mean and skewness of eigenvector centrality) are appropriate indicators of the overall competition in the insurance market. Based on these parameters, we show that the level of systemic competition among insurers as a function of time is an inverse U-shape trend, and that competition has returned back to what it was at the very beginning of ACA, indicating an undesirable resilience in the national health care system.

Dynamic Structure of Competition Networks in Affordable Care Act Insurance Market