Public procurement networks

Overview

Public procurement networks represent the complex relationships between government entities and private contractors. Our research focuses on understanding these relationships and their impact on public spending efficiency.

Key Findings

1. Network structure reveals preferential attachments between certain contractors and government entities
2. Community detection algorithms identify potential procurement clusters
3. Temporal analysis shows evolution of procurement patterns

Methodology

We applied several network analysis techniques:

• Community detection
• Centrality measures
• Temporal evolution analysis

# Example code snippet
import networkx as nx

def analyze_procurement_network(edges):
    G = nx.Graph()
    G.add_edges_from(edges)
    communities = nx.community.louvain_communities(G)
    centrality = nx.eigenvector_centrality(G)
    return communities, centrality

Publications

1. “Structure and dynamics of public procurement networks” (2023)
2. “Temporal evolution of contractor relationships” (2024)

Collaborators

• Dr. Jane Smith (Harvard University)
• Prof. John Doe (MIT)