Inspired by the LocalRank centrality [2] and the extended neighborhood coreness [3], Ma et al. [4] proposed the extended gravity centrality (EGC) of node \(i\), denoted by \(c_{\text{EGC}}(i)\), as
\begin{equation*}
c_{\text{EGC}}(i) = \sum_{j \in \mathcal{N}(i)} c_{\text{Gravity}}(j)
= \sum_{j \in \mathcal{N}(i)} \sum_{l \in \mathcal{N}^{(\leq l)}(j)} \frac{k_s(j)\,k_s(l)}{d_{jl}^2},
\end{equation*}
where \(\mathcal{N}(i)\) denotes the set of neighbors of node \(i\), \(d_{jl}\) is the shortest path distance between nodes \(j\) and \(l\), \(k_s(j)\) represents the \(k\)-shell value of node \(j\) and \(\mathcal{N}^{(\leq l)}(j)\) denotes the set of nodes within the \(l\)-hop neighborhood of node \(j\).
The EGC thus integrates the gravity centralities of a node’s immediate neighbors, capturing both local and higher-order topological influences in the network.

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] Chen, D., Lü, L., Shang, M. S., Zhang, Y. C., & Zhou, T. (2012). Identifying influential nodes in complex networks. Physica a: Statistical mechanics and its applications, 391(4), 1777-1787. doi: 10.1016/j.physa.2011.09.017.
[3] Bae, J., & Kim, S. (2014). Identifying and ranking influential spreaders in complex networks by neighborhood coreness. Physica A: Statistical Mechanics and its Applications, 395, 549-559. doi: 10.1016/j.physa.2013.10.047.
[4] Ma, L. L., Ma, C., Zhang, H. F. & Wang, B. H. Identifying influential spreaders in complex networks based on gravity formula. Physica A 451, 205-212 (2015). doi: 10.1016/j.physa.2015.12.162.