The global structure model (GSM; Ullah et al. 2021) multiplies a coreness factor of the node by the coreness of all other nodes, each discounted by its hop distance: $$GSM(i) = \exp\left(\frac{k_s(i)}{N}\right) \sum_{j \ne i} \frac{k_s(j)}{d_{ij}}.$$ Here \(k_s\) is the core number and \(N\) the number of nodes, isolated nodes included.
Arguments
- x
Network input accepted by
centrality.- ...
Further arguments to
centrality, such asnormalized.
Details
The measure uses the simple undirected skeleton, so direction, weights,
loops and parallel edges are ignored, and mode has no effect.
Only reachable nodes contribute to the sum, which extends the measure to
disconnected networks. Other components still affect the scores through
\(N\). An isolated node scores 0.
References
Ullah, A., Wang, B., Sheng, J., Long, J., Khan, N., & Sun, Z. (2021). Identification of nodes influence based on global structure model in complex networks. Scientific Reports, 11, 6173. doi:10.1038/s41598-021-84684-x .
