We analyze the temporal bipartite network of the leading Irish companies and their directors from 2003 to 2013, encompassing the end of the Celtic Tiger boom and the ensuing financial crisis in 2008. We focus on the evolution of company interlocks, whereby a company director simultaneously sits on two or more boards. We develop a statistical model for this dataset by embedding the positions of companies and directors in a latent space. The temporal evolution of the network is modeled through three levels of Markovian dependence: one on the model parameters, one on the companies' latent positions, and one on the edges themselves. The model is estimated using Bayesian inference. Our analysis reveals that the level of interlocking, as measured by a contraction of the latent space, increased before and during the crisis, reaching a peak in 2009, and has generally stabilized since then.Bayesian estimation | corporate governance | Ireland | Markov chain Monte Carlo | social network analysis I n the past two decades, Ireland has seen big changes to its economic prosperity. From the mid-1990s to 2007, there was a period of rapid economic growth, often referred to as the Celtic Tiger. However, in 2008, there was a major financial and banking crisis that had a devastating effect on the economy and was associated with a series of banking scandals. Since then, there has been considerable interest in ascertaining the roots of the crisis.Interlocking directorships have been identified as one possible factor in the Irish economic crash (1), possibly contributing to "group think" in the economy and lack of autonomy of individual companies. This possibility is in line with more general literature, which suggests that interlocking directorships may be associated with poorer performance and lower value of companies (2-5), social embeddedness that limits their effectiveness (6), excessive remuneration of directors (7,8) and conflicts of interest, lack of commitment of directors, and lack of diversity (9, 10).In this article, we use bipartite networks to investigate interlocking directorships in companies listed on the Irish Stock Exchange (ISE) between 2003 and 2013 inclusive. Bipartite networks have two node types such that two nodes can be linked only if they are of different types. Here, one set of nodes consists of the directors who fill board positions and the other consists of the boards themselves, each of which corresponds to a unique company or organization.We develop a dynamic statistical model which captures key features of the evolution of interlocking directorships over time. Our data cover the period from 2003 to 2013, allowing an investigation of network behavior in the years before and after the crisis. A key aspect of the model that we develop is that it allows for a statistically principled visual representation of the network's evolution over time. Clancy et al. (1) examined Irish interlocking directorates, but over a shorter period from 2005 to 2007, which did not cover the financial crash, and they did not carr...