- Text
- Graph,
- Vertices,
- Edges,
- Shortest,
- Algorithm,
- Vertex,
- Undirected,
- Subgraph,
- Transitive,
- Node,
- Interface,
- Boost

RBGL: R interface to boost graph library

AFGCHBEDFigure 7: Modified Kruskal MST example from Boost **library**.16

$`2`[1] "A" "B" "C" "E"$`3`[1] "F"$`4`[1] "G" "H"After adding three vertices, F, G, H and an edge G-H, there are three strong componentsin the **graph** now.A biconnected **graph** is a connected **graph** that removal of any single vertex doesn’tdisconnect it. If the removal of a vertex increases the number of components in a **graph**,this vertex is call an articulation point.The biConnComp function computes the biconnected components in an undirected**graph**. The articulationPoints function finds all the articulation points in an undirected**graph**.> bicoex biConnComp(bicoex)$`no. of biconnected components`[1] 4$edges[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11]from "A" "A" "A" "B" "B" "B" "F" "G" "G" "C" "I"**to** "B" "F" "G" "C" "D" "E" "E" "I" "H" "D" "H"$`biconnected components`[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11]index 1 1 3 0 0 1 1 2 2 0 2> articulationPoints(bicoex)$`no. of articulation points`[1] 3$`articulation points`[1] "B" "G" "A"There are 4 biconnected components in the example: one with vertices B, C, D andedges B-C, C-D, B-D labeled 0, one with vertices A, B, E, F and edges A-B, B-E, E-F,17

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