Functional structure in production networks

Abstract

Production networks are integral to economic dynamics, yet dis-aggregated network data on inter-firm trade is rarely collected and often proprietary. Here we situate company-level production networks among networks from other domains according to their local connectivity structure. Through this lens, we study a regional and a national network of inferred trade relationships reconstructed from Dutch national economic statistics and re-interpret prior empirical findings. We find that company-level production networks have so-called functional structure, as previously identified in protein-protein interaction (PPI) networks. Functional networks are distinctive in their over-representation of closed squares, which we quantify using an existing measure called spectral bipartivity. Shared local connectivity structure lets us ferry insights between domains. PPI networks are shaped by complementarity, rather than homophily, and we use multi-layer directed configuration models to show that this principle explains the emergence of functional structure in production networks. Companies are especially similar to their close competitors, not to their trading partners. Our findings have practical implications for the analysis of production networks and a thorough understanding of their local connectivity structure will help us better reason about the micro-economic mechanisms behind their routine function, failure, and growth.

20 pages, 5 figures

References in corpus (23)

• SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
• Fast unfolding of communities in large networks
• The structure and function of complex networks
• Modularity and community structure in networks
• Random graphs with arbitrary degree distributions and their applications
• Mixing patterns in networks
• Characterization of complex networks: A survey of measurements
• Stochastic blockmodels and community structure in networks
• Dynamical and correlation properties of the Internet
• Why social networks are different from other types of networks
• How to project a bipartite network?
• Modularity and community detection in bipartite networks
• Spectral Measures of Bipartivity in Complex Networks
• Stacking Models for Nearly Optimal Link Prediction in Complex Networks
• The entropic origin of disassortativity in complex networks
• Clustering coefficients for correlation networks
• On network bipartivity
• Large-scale structure of a nation-wide production network
• Cumulative effects of triadic closure and homophily in social networks
• Deciphering the global organization of clustering in real complex networks
• Centrality in the Global Network of Corporate Control
• Relations between allometric scalings and fluctuations in complex systems: The case of Japanese firms
• Exploiting the Structure of Bipartite Graphs for Algebraic and Spectral Graph Theory Applications

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• Commodity-specific triads in the Dutch inter-industry production network