The effective distance gravity model (EffG) is a variant of the gravity model that incorporates both static and dynamic interactions between nodes by utilizing the concept of effective distance [2]. The effective distance \(D_{j|i}\) from node \(i\) to node \(j\), which are directly connected, was introduced by Brockmann and Helbing [3] and is defined as
\begin{equation*}
D_{j|i} = 1 - \log_2\!\left(\frac{a_{ij}}{d_i}\right),
\end{equation*}
where \(a_{ij}\) is the element of the adjacency matrix representing the connection between nodes \(i\) and \(j\), and \(d_i\) denotes the degree of node \(i\).
The effective distance is not necessarily symmetric, even in undirected networks, because nodes may have different degrees. The effective shortest path distance \(\tilde{d}_{ij}\) between nodes \(i\) and \(j\) is computed as the length of the shortest path in a weighted graph, where each direct link \((i,j)\) is assigned a weight equal to \(D_{j|i}\).
The EffG centrality of node \(i\), denoted by \(c_{\text{EffG}}(i)\), is then given by
\begin{equation*}
c_{\text{EffG}}(i) = \sum_{j \neq i} \frac{d_i\,d_j}{\tilde{d}_{ij}^2}.
\end{equation*}

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] Shang, Q., Deng, Y., & Cheong, K. H. (2021). Identifying influential nodes in complex networks: Effective distance gravity model. Information Sciences, 577, 162-179. doi: 10.1016/j.ins.2021.01.053.
[3] Brockmann, D., & Helbing, D. (2013). The hidden geometry of complex, network-driven contagion phenomena. science, 342(6164), 1337-1342. doi: 10.1126/science.1245200.