centrality_cross_clique: Cross-Clique Connectivity
In cograph: Analysis and Visualization of Complex Networks
centrality_cross_clique R Documentation
Cross-Clique Connectivity
Description
Count of all cliques (not just maximal) containing each node. Measures
embeddedness in dense substructures.
Usage
centrality_cross_clique(x, ...)
Arguments
x
Network input (matrix, igraph, network, cograph_network, tna object).
...
Additional arguments passed to centrality.
Value
Named integer vector of cross-clique counts.
See Also
centrality for computing multiple measures at once.
Examples
adj <- matrix(c(0, 1, 1, 1, 0, 1, 1, 1, 0), 3, 3)
rownames(adj) <- colnames(adj) <- c("A", "B", "C")
centrality_cross_clique(adj)
cograph documentation built on May 31, 2026, 5:06 p.m.
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| centrality_cross_clique | R Documentation |
Cross-Clique Connectivity
Description
Count of all cliques (not just maximal) containing each node. Measures embeddedness in dense substructures.
Usage
centrality_cross_clique(x, ...)
Arguments
x |
Network input (matrix, igraph, network, cograph_network, tna object). |
... |
Additional arguments passed to |
Value
Named integer vector of cross-clique counts.
See Also
centrality for computing multiple measures at once.
Examples
adj <- matrix(c(0, 1, 1, 1, 0, 1, 1, 1, 0), 3, 3)
rownames(adj) <- colnames(adj) <- c("A", "B", "C")
centrality_cross_clique(adj)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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