Network Centrality Measures
Each has implications for resilience and efficiency.
Different centrality measures capture different types of importance in networks: (1) Degree centrality - most direct connections, the node everyone knows. (2) Betweenness centrality - how often a node is a bridge; information flowing between others must pass through it. High betweenness = control over information flow but also bottleneck risk. (3) Eigenvector centrality - connected to other well-connected nodes. Google's PageRank uses this principle - pages linked by important pages are themselves important.
Business Application of Network Centrality Measures
Centrality measures identify critical organizational nodes: degree centrality finds popular connectors, betweenness centrality finds bottlenecks and information brokers, eigenvector centrality finds influencers connected to other influencers. Each has implications for resilience and efficiency.