View source: R/centrality-batch13.R
| centrality_volume | R Documentation |
Sum of the original-graph degrees of all vertices within
volume_radius hops, including the focal vertex. This is the
localized volume measure of Wehmuth & Ziviani (DANCE/DACCER). Degrees
include edges leaving the neighborhood; they are not recomputed inside
the induced subgraph. Radius zero returns degree. Infinite radius returns
twice the number of edges in the focal connected component.
centrality_volume(x, volume_radius = 2, ...)
x |
Network input accepted by |
volume_radius |
Nonnegative integer hop radius, or |
... |
Additional arguments to |
Uses the simple undirected, unweighted skeleton: either direction creates an edge, parallel edges count once, and self-loops are removed. This is an explicit input projection, not a weighted or directed generalization. Isolates score zero.
Named numeric vector in input node order.
Wehmuth, K., & Ziviani, A. (2011). Distributed Assessment of Network Centrality. arXiv:1108.1067.
Wehmuth, K., & Ziviani, A. (2013). DACCER: Distributed Assessment of the Closeness CEntrality Ranking in complex networks. Computer Networks, 57, 2536-2548. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.comnet.2013.05.001")}.
centrality_kreach, centrality_degree.
centrality_volume(igraph::make_ring(6), volume_radius = 1)
centrality_volume(igraph::make_ring(6), volume_radius = 0)
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