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In graph theory, betweenness centrality is a measure of centrality in a graph based on shortest paths. Betweenness centrality measures how frequently a node appears on the shortest path between other nodes in the graph. For every pair of vertices in a connected graph, there exists at least one shortest path between the vertices, that is, there exists at…
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centrality betweenness nodes node shortest network displaystyle networks vertices number graph graphs paths percolation path time algorithm social edges theory
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Betweenness centrality | is a | measure of centrality in a graph based on shortest paths | 0.90 | text |
| ABRA | instance of | Later methods | 0.80 | text |
| SILVAN used progressive sampling strategies | instance of | Later methods | 0.80 | text |
| Rademacher averages to adaptively determine the number of sampled shortest paths needed to achieve a target accuracy.KADABRA is an adaptive approximation algorithm that combines shortest-path sampling with bidirectional breadth-first search | instance of | Later methods | 0.80 | text |
| confidence interval estimation.Local heuristics have also been proposed as computationally inexpensive alternatives | instance of | Later methods | 0.80 | text |
| degree | instance of | use only local structural properties | 0.80 | text |
| the clustering coefficient to estimate the relative importance of vertices | instance of | use only local structural properties | 0.80 | text |
| Betweenness centrality | related to Algorithms | Calculating | 0.60 | section |
| Betweenness centrality | related to Algorithms | Theta | 0.60 | section |
| Betweenness centrality | related to Algorithms | Floyd | 0.60 | section |
| Betweenness centrality | related to Algorithms | Warshall | 0.60 | section |
| Betweenness centrality | related to Algorithms | On | 0.60 | section |
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