Cross-Clique Connectivity

Cross-clique connectivity (Faghani and Nguyen 2013) counts the cliques that contain a node. Every complete subnetwork counts, including the node itself and each of its edges, so a node of an isolated triangle scores 4.

Usage

centrality_cross_clique(x, ...)

Arguments

x

Network input accepted by centrality.

...

Further arguments to centrality, such as normalized.

Value

A named integer vector with one count per node, in input node order.

Details

Edge direction, edge weights and self-loops are ignored.

References

Faghani, M. R., & Nguyen, U. T. (2013). A study of XSS worm propagation and detection mechanisms in online social networks. IEEE Transactions on Information Forensics and Security, 8(11), 1815-1826. doi:10.1109/TIFS.2013.2280884 .

See also

centrality_coreness, centrality_transitivity, centrality.

Examples

centrality_cross_clique(regulation_net)
#>    Explore       Plan    Monitor      Adapt    Reflect    Discuss Synthesize 
#>         11         16         21         12          9         10          8 
#>   Evaluate     Create      Share 
#>         12         17         13