What are the applications of centrality in network analysis?

What are the applications of centrality in network analysis?

Centrality measures help identify the most important nodes in a network. Applications include social network analysis, transportation, and epidemiology.

Can you give examples of centrality measures?

Sure! Common centrality measures include degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality.

How is betweenness centrality used in real-world scenarios?

Betweenness centrality is used in identifying key players in social networks, optimizing traffic flow, and analyzing communication patterns.

What about its application in social media?

In social media, betweenness centrality helps identify influencers who connect different groups, facilitating information spread.

Are there any limitations to using centrality measures?

Yes, limitations include sensitivity to network structure changes and potential misinterpretation of centrality scores without context.