What are the different types of centrality in network analysis?
In network analysis, centrality measures the importance of nodes. The main types are degree, closeness, betweenness, and eigenvector centrality.
Can you explain degree centrality?
Degree centrality counts the number of direct connections a node has. A higher degree means more influence in the network.
What about closeness centrality?
Closeness centrality measures how quickly a node can access other nodes in the network. It's based on the shortest paths.
How is betweenness centrality different?
Betweenness centrality quantifies how often a node acts as a bridge along the shortest path between two other nodes.
And eigenvector centrality?
Eigenvector centrality considers not just the number of connections but also the quality of those connections, valuing connections to influential nodes.
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