Node contraction importance (Tan, Wu and Deng 2006, as restated by Wang et al. 2011) compares the agglomeration \(\partial(G) = 1 / (N \bar{L})\) of a network, with \(\bar{L}\) the mean shortest-path length, before and after the node is merged with all its neighbors into one node: $$IMC(v) = 1 - \frac{\partial(G)}{\partial(G_v)}.$$ The improved form adds the same score of the edges of the node computed on the line graph, \(IIMC(v) = \alpha\, IMC(v) + \beta \sum_{e \ni v} IMC_{L(G)}(e)\), with \(\alpha + \beta = 1\).
Usage
centrality_node_contraction(x, ...)
centrality_node_contraction_improved(x, contraction_rho = 5, ...)Arguments
- x
Network input accepted by
centrality.- ...
Further arguments to
centrality, such asnormalized.- contraction_rho
Ratio \(\alpha / \beta\) for the improved form (default 5).
Details
The measure is computed on the simple undirected skeleton of the
network, so direction, weights and loops are ignored. Higher values mark
more important nodes. The sources assume a connected network. On a
disconnected network the mean path length is taken over the mutually
reachable ordered pairs. An isolated node scores 0, and a node whose
contraction leaves no pair of mutually reachable nodes returns
NaN. The Centrality Zoo describes the contracted graph as the
graph with the node removed. The sources define it by contraction, which
is implemented here.
References
Tan, Y.-J., Wu, J., & Deng, H.-Z. (2006). Evaluation method for node importance based on node contraction in complex networks. Systems Engineering: Theory & Practice, 26(11), 79-83.
Examples
centrality_node_contraction(regulation_net)
#> Explore Plan Monitor Adapt Reflect Discuss Synthesize
#> 0.6071429 0.6666667 0.7857143 0.6190476 0.5714286 0.5357143 0.4571429
#> Evaluate Create Share
#> 0.5000000 0.6666667 0.5357143
centrality_node_contraction_improved(regulation_net)
#> Explore Plan Monitor Adapt Reflect Discuss Synthesize
#> 0.8198386 0.9608238 1.1638901 0.9170453 0.7829129 0.7645413 0.6183757
#> Evaluate Create Share
#> 0.7421423 0.9657596 0.7723415
