The hybrid global structure model (H-GSM) is an extension of the GSM model that combines the local information (\(iSI\)) and global influence (\(iGI\)) of nodes in a network [2]. The centrality \( c_{H-GSM}(i) \) of node \( i \) is defined as
\begin{equation*}
c_{H-GSM}(i) = iSI(i) \cdot iGI(i)
= e^{k_s(i) d_i / N} \cdot \sum_{j \neq i} \frac{e^{k_s(j) d_j / N}}{d_{ij}^{\lceil \log_2 \overline{iSI} \rceil}},
\end{equation*}
where \( k_s(i) \) and \( d_i \) are the \(k\)-shell index and degree of node \( i \), respectively,
\( d_{ij} \) is the shortest path distance between nodes \( i \) and \( j \), \( \overline{iSI} \) is the average local information across all nodes, and \(\lceil x \rceil\) denotes the smallest integer greater than or equal to \(x\).
H-GSM integrates both local connectivity and global network influence, providing a more comprehensive measure of node importance compared to purely local or global metrics.

References

[1] Shvydun, S. (2025). Zoo of Centralities: Encyclopedia of Node Metrics in Complex Networks. arXiv: 2511.05122 https://doi.org/10.48550/arXiv.2511.05122
[2] Mukhtar, M. F., Abal Abas, Z., Baharuddin, A. S., Norizan, M. N., Fakhruddin, W. F. W. W., Minato, W., Rasib, A. H. A, Abidin, Z. Z., Rahman, A. F. N. A. & Anuar, S. H. H. (2023). Integrating local and global information to identify influential nodes in complex networks. Scientific Reports, 13(1), 11411. doi: 10.1038/s41598-023-37570-7.