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Updated: Nov 2, 2025

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Functional Structure in Production Networks.

Carolina E S Mattsson^1,2, Frank W Takes^1,3, Eelke M Heemskerk^3,4

¹Computational Network Science Lab, Leiden Institute of Advanced Computer Science, Leiden University, Leiden, Netherlands.

Frontiers in Big Data

|June 7, 2021

Summary

This summary is machine-generated.

Company production networks exhibit a functional structure, similar to protein-protein interaction networks. This structure arises from complementarity, meaning companies are more similar to competitors than trading partners.

Keywords:

bipartivity complexity economics economic statistics functional networks inter-firm networks production networks trade linkages

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Area of Science:

Economic Networks
Network Science
Computational Economics

Background:

Inter-firm trade data is scarce and proprietary, hindering production network analysis.
Existing economic network studies often lack detailed, disaggregated company-level data.
Production networks are crucial for understanding economic dynamics.

Purpose of the Study:

To analyze company-level production networks by comparing them to other network types.
To identify the structural characteristics of production networks.
To explain the emergence of these structures using principles from other network domains.

Main Methods:

Reconstruction of regional and national trade networks from Dutch economic statistics.
Analysis of network structure using concepts from protein-protein interaction (PPI) networks.
Application of multi-layer directed configuration models to explain network formation.

Main Results:

Company-level production networks display a 'functional structure,' characterized by an over-representation of closed squares.
This functional structure is quantified using spectral bipartivity.
Complementarity, not homophily, drives the emergence of functional structure in production networks, with companies resembling competitors more than partners.

Conclusions:

Production networks share structural similarities with PPI networks, enabling cross-domain insights.
The functional structure of production networks is explained by complementarity.
Understanding these local structural features is key for analyzing company function, failure, and growth.