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Topics in Graph Data Science #5: Centrality & Influence in Graph Networks
Centrality and Influence are key markers of understanding your graph networks. In this talk, we’ll explore the fundamentals of centrality algorithms on graph networks. We’ll start by introducing the concept of centrality and how it relates to network analysis. Then, we’ll delve into the various types of centrality measures, including degree centrality, betweenness centrality, and pagerank, and explain how they can be calculated and interpreted.